{
  "version": "target_source_grounded_entity_registry_build_deepseek_consultation.v1",
  "created_at": "2026-06-06T16:31:03.874556Z",
  "call_status": "success",
  "provider_meta": {
    "provider": "deepseek_reviewer",
    "model": "deepseek-v4-pro",
    "base_url": "https://api.deepseek.com/chat/completions",
    "thinking_type": "enabled",
    "reasoning_effort": "max",
    "max_tokens": 32000,
    "timeout_seconds": 600,
    "temperature": 0.0,
    "skipped": false
  },
  "messages": [
    {
      "role": "system",
      "content": "You are an independent registry/schema/source-authority auditor. Return compact JSON only. Advisory-only."
    },
    {
      "role": "user",
      "content": "{\"advisory_question\": \"Round 2: critique Round 1 and the candidate build for overreach, hallucination, boundary violations, missing source assumptions, weak authority claims, and operator constraints.\", \"context\": {\"active_route\": {\"current_implementation_priority\": \"target_source_grounded_entity_registry_build_contract_landed_pending_implementation\", \"current_status\": \"post_now33a_full_project_recalibration_landed_validated\", \"next_entrypoint_id\": \"platform_neutral_prompt_readiness_manual_execution_log_contract\"}, \"ambiguity_report\": {\"authority_satisfying_candidate_count\": 28, \"blocked_candidates\": [{\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"一手扶丰儿\", \"entity_uid\": \"HLMENTCD3099BFABE3\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"万艳同杯\", \"entity_uid\": \"HLMENTDEB6F3CD9363\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"三日后过门\", \"entity_uid\": \"HLMENT126D25A9A820\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"三间兽头大门\", \"entity_uid\": \"HLMENTDD57A99A14B7\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"不出现秦氏\", \"entity_uid\": \"HLMENT65F7728E6930\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"不时张望大门\", \"entity_uid\": \"HLMENT1E1803055F28\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"不见二丫头\", \"entity_uid\": \"HLMENTB89B4209BDA1\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"不言\", \"entity_uid\": \"HLMENT5AE34DD1F302\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"不设\", \"entity_uid\": \"HLMENT9415EEC9F571\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"东门倒关\", \"entity_uid\": \"HLMENTB34834FEC532\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"东门未关\", \"entity_uid\": \"HLMENTC3AEC1CC20CB\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"丫鬟轻\", \"entity_uid\": \"HLMENT84C1E3B3DA16\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"丰儿\", \"entity_uid\": \"HLMENTBBF14D2D73B6\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"丰神迥异\", \"entity_uid\": \"HLMENTD6C2B5DD3FB5\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"为僧\", \"entity_uid\": \"HLMENTFCFB6575947C\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"乐中悲\", \"entity_uid\": \"HLMENT72DB3C2CBF1B\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"争执\", \"entity_uid\": \"HLMENT5FC9A314D90D\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"type_subtype_uncertain\"], \"canonical_name\": \"二丫头\", \"entity_uid\": \"HLMENTAAA6B1D40D82\", \"source_evidence_ref_count\": 2, \"type\": \"职位称号\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"二人低\", \"entity_uid\": \"HLMENTB518B7AEB842\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"二人出梨香院\", \"entity_uid\": \"HLMENTFF9AA1BFBF39\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"二人近身低\", \"entity_uid\": \"HLMENT1AF80381B655\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"二哥哥\", \"entity_uid\": \"HLMENT7B063875878D\", \"source_evidence_ref_count\": 1, \"type\": \"职位称号\"}, {\"blocked_for_review_reasons\": [\"type_subtype_uncertain\"], \"canonical_name\": \"二奶奶\", \"entity_uid\": \"HLMENTF25F25764670\", \"source_evidence_ref_count\": 2, \"type\": \"职位称号\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"云板余韵\", \"entity_uid\": \"HLMENTB7A00E342951\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"云水缭绕\", \"entity_uid\": \"HLMENT8F84BC16C855\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"merge_split_risk\"], \"canonical_name\": \"云雾缭绕\", \"entity_uid\": \"HLMENTC40817D45F0A\", \"source_evidence_ref_count\": 2, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"五凤挂珠钗\", \"entity_uid\": \"HLMENT3747237511AF\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"五间正门\", \"entity_uid\": \"HLMENTE22A5018D4BB\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"亭台楼阁\", \"entity_uid\": \"HLMENT8AADEA9D6BAA\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"人群低\", \"entity_uid\": \"HLMENT4784C3AB8B51\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"今日怎么没见蓉大奶奶\", \"entity_uid\": \"HLMENT7D1C8A13F489\", \"source_evidence_ref_count\": 1, \"type\": \"职位称号\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"从内走出\", \"entity_uid\": \"HLMENT60B63D6D7A0A\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"他接过玉\", \"entity_uid\": \"HLMENT79EB40C54702\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"他走向黛玉\", \"entity_uid\": \"HLMENT511E428BBDD8\", \"source_evidence_ref_count\": 1, \"type\": \"物品\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"仙子悄\", \"entity_uid\": \"HLMENT5DC2A3FA2270\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"以声造境\", \"entity_uid\": \"HLMENT30F8E678BC1E\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"任无大小\", \"entity_uid\": \"HLMENTD992C1E376AD\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"伏地痛哭\", \"entity_uid\": \"HLMENTD901066A0EAE\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"众人吃毕出园\", \"entity_uid\": \"HLMENTB3BB00B79F8E\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"众人步入茅堂\", \"entity_uid\": \"HLMENT249A0A37E6CB\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"伴随门子\", \"entity_uid\": \"HLMENT65787D61F0B2\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"似非大观\", \"entity_uid\": \"HLMENT4968D63EE636\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"低声嘱宝玉\", \"entity_uid\": \"HLMENT365DF604B185\", \"source_evidence_ref_count\": 1, \"type\": \"物品\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"低声细\", \"entity_uid\": \"HLMENT435356E4BF8E\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"低沉嗡\", \"entity_uid\": \"HLMENT3927E890AE6D\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"低沉的钟\", \"entity_uid\": \"HLMENTE23BE4066FEE\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"何出此言\", \"entity_uid\": \"HLMENT0A60F2E47909\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"何尝哭\", \"entity_uid\": \"HLMENTA45A870C8A8C\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"何意\", \"entity_uid\": \"HLMENT7A95242E1D17\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"余下留白\", \"entity_uid\": \"HLMENTC4C2723FF0E0\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"余剩\", \"entity_uid\": \"HLMENTBFE4DB553076\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"余味收束\", \"entity_uid\": \"HLMENTA1E738F414EF\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"余音回荡\", \"entity_uid\": \"HLMENT64368D6D793C\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"余音缭绕\", \"entity_uid\": \"HLMENTAA65972CA821\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"余音袅袅\", \"entity_uid\": \"HLMENT09DD681BC3BF\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"余音震颤\", \"entity_uid\": \"HLMENT9B25AC859E7B\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"余韵回荡\", \"entity_uid\": \"HLMENT46AD82D3A8C4\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"使雨村独自留在书房\", \"entity_uid\": \"HLMENTB4A4B3EB2DC1\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"依我，题‘红香绿玉\", \"entity_uid\": \"HLMENT06F5BF56CAFB\", \"source_evidence_ref_count\": 1, \"type\": \"物品\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"保留核心\", \"entity_uid\": \"HLMENTE6E4D1D72A50\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"信纸展开\", \"entity_uid\": \"HLMENT81C15216386B\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"俯瞰宁国府\", \"entity_uid\": \"HLMENT5CBC183A633D\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"倒酒\", \"entity_uid\": \"HLMENTD33B3E66C77D\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"倾斜的庙门\", \"entity_uid\": \"HLMENT37A094507077\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"催马入后门\", \"entity_uid\": \"HLMENTF771955A0447\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"僧道齐\", \"entity_uid\": \"HLMENT861CE163E19B\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"元宵佳节\", \"entity_uid\": \"HLMENT21891E4FCCBE\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"元春\", \"entity_uid\": \"HLMENTB535FC67E793\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"元春判词\", \"entity_uid\": \"HLMENT62004EF40CEB\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"全身微缩\", \"entity_uid\": \"HLMENTA60753BD50C0\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"公堂再次升堂\", \"entity_uid\": \"HLMENTDD4D17D144CF\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"关上门\", \"entity_uid\": \"HLMENT9B01F41C5815\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"关键论断\", \"entity_uid\": \"HLMENT04EF4F6833DC\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"关键预言\", \"entity_uid\": \"HLMENT2D8D30CF22D1\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\"], \"canonical_name\": \"关门\", \"entity_uid\": \"HLMENTDECBCB409508\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"兵器碰撞\", \"entity_uid\": \"HLMENT19F3C13EFFE2\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"军民围观\", \"entity_uid\": \"HLMENTCAC172BF6269\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"冯家小厮\", \"entity_uid\": \"HLMENT28CAE418B520\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"冯渊兑银\", \"entity_uid\": \"HLMENT5A7C3530412A\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"冰裂\", \"entity_uid\": \"HLMENT266076A027D5\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"冰雪崩裂\", \"entity_uid\": \"HLMENTAA700EB378EC\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"type_subtype_uncertain\"], \"canonical_name\": \"冷子兴\", \"entity_uid\": \"HLMENT87E42ACB5C85\", \"source_evidence_ref_count\": 2, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"冷子兴与贾雨村\", \"entity_uid\": \"HLMENT4F8FF652CF70\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"冷子兴说到荣府\", \"entity_uid\": \"HLMENT734AC78EEFEE\", \"source_evidence_ref_count\": 1, \"type\": \"地点\"}, {\"blocked_for_review_reasons\": [\"merge_split_risk\", \"type_subtype_uncertain\"], \"canonical_name\": \"净虚\", \"entity_uid\": \"HLMENTBDB39A215C16\", \"source_evidence_ref_count\": 3, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\"], \"canonical_name\": \"净虚引凤姐\", \"entity_uid\": \"HLMENT80705CF171C9\", \"source_evidence_ref_count\": 1, \"type\": \"人物\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"净虚絮叨\", \"entity_uid\": \"HLMENT982EFD304A26\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": [\"insufficient_source_evidence\", \"type_subtype_uncertain\"], \"canonical_name\": \"净虚耳\", \"entity_uid\": \"HLMENT2E5CA06B3E2D\", \"source_evidence_ref_count\": 1, \"type\": \"其他\"}, {\"blocked_for_review_reasons\": 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\"not_canonical_or_writeback_authority\": true, \"review_status\": \"needs_review\", \"source_evidence_ref_count\": 1, \"source_ref_ids\": [\"P2V22DRAFTCH05SC008SH009\"], \"subtype\": \"待审\", \"surface_kind_counts\": {\"speaker_prefix_pattern\": 1}, \"type\": \"其他\"}], \"contract_excerpt\": {\"char_count\": 14408, \"exists\": true, \"path\": \"/wwwb/aitools/writer/docs/target_source_grounded_entity_registry_build_contract_20260606.md\", \"sha256\": \"77f4434d5127efe17acaa21f8cc6c147328c906e7b93c8bccf5a14a755125520\", \"text\": \"# Target-Source-Grounded Entity Registry Build Contract\\n\\n更新时间：`2026-06-06T19:18:00+08:00`\\n\\n## Status\\n\\n- contract id: `target_source_grounded_entity_registry_build_contract_before_uid_binding_replay_or_asset_binding`\\n- status: `recommended_next_but_blocked_until_implementation`\\n- active route authority: `execution_state.json.next_entrypoint`\\n- active route must remain: `platform_neutral_prompt_readiness_manual_execution_log_contract`\\n- prerequisite retrospective: `docs/full_project_retrospective_post_now33a_registry_recalibration_20260606.md`\\n- advisory basis:\\n  - Round 1: `outputs/post_now33a_full_project_recalibration_deepseek_consultation_20260606_1908`\\n  - Round 2: `outputs/post_now33a_full_project_recalibration_deepseek_consultation_round2_20260606_1913`\\n- implementation effect of this document: contract definition only; no registry build has happened merely because this contract exists\\n\\n## Objective\\n\\nBuild and validate a target-source-grounded current entity registry candidate for the current `红楼梦` source lane before any UID binding replay, KG/raw KG writeback, row mutation, asset binding, evidence pack, provider/manual execution, or production-readiness claim.\\n\\nThe next implementation may create a candidate registry artifact under a new output run. That artifact is not a canonical KG/raw KG/entity-store writeback, not an accepted/operator overlay, not evidence, not asset binding, not route authority, not outputs-index authority, and not production acceptance.\\n\\n## Why This Must Be Next\\n\\nNOW-33 closed as:\\n\\n`advisory_entity_link_binding_closed_missing_registry_no_writeback`\\n\\nIt covered all `1638` prompt draft rows but produced `0` canonical UID bindings because current canonical registry was missing.\\n\\nNOW-33A closed as:\\n\\n`current_registry_preflight_pass_no_eligible_registry_recorded`\\n\\nIt inspected `11` historical registry candidates and found `0` eligible candidates with target-source fingerprint authority. Therefore the project cannot replay UID binding honestly until a new target-source-grounded registry candidate is built and validated.\\n\\n## Source Authority\\n\\nThe current target-source authority comes from NOW-33A:\\n\\n- target source fingerprint: `c5d6ab4f5d8bc0aa4a018ebe6daec3315b0d646cb189b1a4fb28fe9a6e23ba34`\\n- target full source sha256: `72df08dce82c0be4622d16060725b0287b1badbb3a979756336148212d6f1d07`\\n- target source path: `input/红楼梦（原文版）.txt`\\n- target chapter count: `20`\\n- target draft row count: `1638`\\n\\nRequired input basis:\\n\\n- `outputs/p_plan_v2_17_first20_scale_generation_calibration_density_repair_20260605_0505/P2V_17_chapters.jsonl`\\n- `outputs/p_plan_v2_22_neutral_prompt_draft_hold_boundary_20260605_0713/P2V_22_neutral_prompt_draft_rows.jsonl`\\n- `outputs/now33_entity_link_binding_advisory_20260606_1544/NOW_33_entity_link_advisory_manifest.jsonl`\\n- `outputs/now33_entity_link_binding_advisory_20260606_1544/NOW_33_entity_gap_report.json`\\n- `outputs/now33a_current_registry_preflight_20260606_1829/NOW_33A_source_fingerprint_report.json`\\n- `outputs/now33a_current_registry_preflight_20260606_1829/NOW_33A_registry_authority_gap_report.json`\\n\\nHistorical registry candidates are reference-only unless a future explicit preflight proves target-source fingerprint overlap and explicit current-authority configuration. Path, work title, entity name, block title, or sample-text similarity must not authorize registry use.\\n\\n## Allowed Work\\n\\nThe implementation may:\\n\\n- read target source/KG lane artifacts and advisory outputs;\\n- extract and aggregate source-grounded entity candidates;\\n- use LLM advisory for semantic consolidation, implicit type/subtype/facet judgment, aliases/title surfaces, merge/split risk, and ambiguity notes;\\n- assign deterministic program-owned `entity_uid` proposals;\\n- build a candidate registry artifact under the output run;\\n- generate alias/surface, source-evidence, UID schema, ambiguity, and validation reports;\\n- generate review HTML;\\n- run two DeepSeek v4 pro thinking/max consultation rounds and record raw/parsed outputs;\\n- run deterministic validators and tests.\\n\\n## Forbidden Work\\n\\nThe implementation must not:\\n\\n- change `execution_state.json.next_entrypoint`;\\n- write canonical KG, raw KG, entity store, accepted overlay, operator overlay, or replay actions;\\n- mutate draft rows, held rows, readiness state, execution logs, or output indexes;\\n- bind or acquire assets;\\n- generate images, audio, TTS, video, provider payloads, or adapter payloads;\\n- create manual/provider/operator evidence;\\n- ingest feedback;\\n- execute repair or replay;\\n- claim production readiness or production acceptance;\\n- directly continue old B7 downstream;\\n- runtime-branch by chapter, entity name, work title, block title, or sample text.\\n\\n## Output Artifacts\\n\\nThe implementation should create a new output run, for example:\\n\\n`outputs/target_source_grounded_entity_registry_build_<timestamp>`\\n\\nRequired files:\\n\\n- `TARGET_REGISTRY_build_input.json`\\n- `TARGET_REGISTRY_source_entity_candidate_manifest.jsonl`\\n- `TARGET_REGISTRY_candidate_current_entity_registry.json`\\n- `TARGET_REGISTRY_alias_surface_manifest.jsonl`\\n- `TARGET_REGISTRY_source_evidence_ref_manifest.jsonl`\\n- `TARGET_REGISTRY_uid_schema_report.json`\\n- `TARGET_REGISTRY_ambiguity_and_review_block_report.json`\\n- `TARGET_REGISTRY_validation_report.json`\\n- `TARGET_REGISTRY_gate.json`\\n- `TARGET_REGISTRY_review.html`\\n- `TARGET_REGISTRY_manifest.json`\\n\\nForbidden filename implications:\\n\\n- no `accepted`\\n- no `acceptance`\\n- no `evidence` as real evidence path or evidence-like class\\n- no `production`\\n- no `ready`\\n\\n`source_evidence_ref_manifest` is allowed as a source-reference artifact name, not as manual/provider/operator evidence. It must be explicitly marked as source-ref validation data and advisory/build support, not evidence.\\n\\n## Registry Schema\\n\\nThe candidate registry must validate with:\\n\\n`novel2video.entity_registry_schema.validate_entity_registry`\\n\\nRoot required fields:\\n\\n- `version`\\n- `source_kg_path`\\n- `source_kg_store_path`\\n- `summary`\\n- `entity_resolution_overlay`\\n- `entities`\\n\\nEntity required fields:\\n\\n- `entity_uid`\\n- `canonical_name`\\n- `aliases`\\n- `type`\\n- `subtype`\\n- `importance`\\n- `locked`\\n- `review_status`\\n- `scene_coverage`\\n- `first_seen`\\n- `last_seen`\\n- `visual_card_id`\\n- `voice_card_id`\\n- `asset_binding_id`\\n- `merge_suspect`\\n- `notes`\\n\\nAllowed entity types remain the existing ontology core types:\\n\\n`人物`, `地点`, `组织`, `物品`, `功法体系`, `术法神通`, `境界体系`, `生物种族`, `职位称号`, `事件仪式`, `概念法则`, `系统面板`, `其他`\\n\\n## Target-Build Extension Fields\\n\\nThe next implementation must add these extension fields to each candidate row or companion manifest row:\\n\\n- `source_evidence_refs`\\n- `alias_evidence_refs`\\n- `relation_refs`\\n- `group_membership_refs`\\n- `source_relation_evidence_refs`\\n- `blocked_for_review`\\n- `blocked_for_review_reasons`\\n\\nThese fields enrich validation and review. They do not bypass `validate_entity_registry`, and they do not create KG/writeback authority.\\n\\n`blocked_for_review` is mandatory for every target registry build candidate:\\n\\n- type: boolean\\n- `false` means the candidate can count as authority-satisfying for later UID replay only if source evidence refs are non-empty and validators pass.\\n- `true` means the candidate is retained for review but excluded from authority-satisfying UID replay inputs until a later adjudication contract resolves it.\\n\\nWhen `blocked_for_review=true`:\\n\\n- `review_status` must be `needs_review`;\\n- `locked` must be `false`;\\n- `blocked_for_review_reasons` must be a non-empty list;\\n- reasons must include exact categories such as `insufficient_source_evidence`, `merge_split_risk`, `alias_collision`, `type_subtype_uncertain`, or `source_ref_conflict`.\\n\\nWhen `blocked_for_review=false`:\\n\\n- `source_evidence_refs` must be non-empty;\\n- `blocked_for_review_reasons` must be empty;\\n- `entity_uid`, `canonical_name`, aliases, type, and scene coverage must pass deterministic validation.\\n\\n## Entity UID Policy\\n\\nThe program owns UID assignment. LLM output may suggest entity identity, but it must not own or freely invent final UID values.\\n\\nProposed UID rule:\\n\\n`entity_uid = \\\"HLMENT\\\" + first 12 uppercase hex chars of stable JSON fingerprint`\\n\\nFingerprint input:\\n\\n- target work id;\\n- normalized `canonical_name`;\\n- entity `type`;\\n- strongest target-source evidence refs;\\n- disambiguator when two candidates share canonical name/type but differ by source evidence.\\n\\nUID must not depend on row order, output order, prompt order, or LLM response order.\\n\\nDuplicate UID count must be `0`. UID collision must block closeout unless deterministic disambiguation resolves it and is logged.\\n\\n## Canonical Name And Alias Policy\\n\\n`canonical_name` must be normalized, non-empty, and source-backed.\\n\\nAliases/title surfaces must be:\\n\\n- deduped;\\n- collision-checked against other canonical names and aliases;\\n- tied to exact source refs or explicitly marked as advisory semantic suggestions;\\n- separated from canonical names when they are honorifics, titles, kinship terms, group labels, or ambiguous surfaces.\\n\\nAmbiguous aliases must not force entity merge. They must create merge/split review blocks.\\n\\n## Evidence Ref Policy\\n\\nThis contract uses \\\"source evidence refs\\\" only in the sense of source grounding, not manual/provider/operator evidence.\\n\\nEvery authority-satisfying candidate must have at least one target-source evidence ref resolving to the current target source basis. Valid refs may point to:\\n\\n- target chapter sha256 from NOW-33A source fingerprint report;\\n- full source sha256 from NOW-33A source fingerprint report;\\n- P2V-17 chapter row;\\n- P2V-22 draft row source ref;\\n- source span or quote window if the implementation can compute it deterministically.\\n\\nIf source refs are missing, conflicting, or only LLM-inferred, the candidate must set `blocked_for_review=true`.\\n\\n## LLM Advisory Scope\\n\\nLLM may perform:\\n\\n- semantic consolidation;\\n- type/subtype/facet judgment;\\n- alias/title surface suggestion;\\n- merge/split risk explanation;\\n- ambiguity notes;\\n- summarization of entity support.\\n\\nLLM must not perform\", \"truncated\": true}, \"input_fingerprint\": \"44631448c33f172813f12ecd3719201604a8469b88b9738de7d1fc1bb0d8d407\", \"policy\": {\"accepted_overlay_writeback_allowed\": false, \"active_route_authority\": \"execution_state.json.next_entrypoint\", \"adapter_payload_allowed\": false, \"asset_binding_allowed\": false, \"asset_generation_or_acquisition_allowed\": false, \"candidate_registry_build_only\": true, \"candidate_registry_is_not_canonical_authority\": true, \"canonical_kg_writeback_allowed\": false, \"deepseek_advisory_is_operator_production_acceptance\": false, \"deepseek_advisory_may_substitute_for_expert_advice\": true, \"deepseek_findings_are_program_validator_inputs\": true, \"deepseek_findings_have_direct_state_authority\": false, \"entity_store_writeback_allowed\": false, \"execution_state_next_entrypoint_unchanged\": true, \"feedback_intake_allowed\": false, \"held_row_promotion_allowed\": false, \"manual_provider_evidence_creation_allowed\": false, \"media_generation_allowed\": false, \"operator_evidence_creation_allowed\": false, \"operator_overlay_writeback_allowed\": false, \"operator_production_acceptance_claimed\": false, \"outputs_index_mutation_allowed\": false, \"provider_job_execution_allowed\": false, \"provider_specific_prompt_allowed\": false, \"raw_kg_writeback_allowed\": false, \"repair_execution_allowed\": false, \"replay_execution_allowed\": false, \"route_transition_allowed\": false, \"row_mutation_allowed\": false, \"runtime_branch_by_work_title_entity_name_or_sample_text_allowed\": false, \"source_ref_manifest_is_source_validation_data_not_manual_provider_evidence\": true, \"stage\": \"target_source_grounded_entity_registry_build\", \"uid_binding_replay_allowed\": false}, \"retrospective_excerpt\": {\"char_count\": 13532, \"exists\": true, \"path\": \"/wwwb/aitools/writer/docs/full_project_retrospective_post_now33a_registry_recalibration_20260606.md\", \"sha256\": \"44f53b63db6445c4a6c3c4d3c7b911db122c1107f953ceea24a93276d14f7a57\", \"text\": \"# Full Project Retrospective After NOW-33A Registry Preflight\\n\\n更新时间：`2026-06-06T19:18:00+08:00`\\n\\n## Status\\n\\n- status: `post_now33a_full_project_recalibration_landed_validated`\\n- active route: `platform_neutral_prompt_readiness_manual_execution_log_contract`\\n- active route authority: `execution_state.json.next_entrypoint`\\n- next entrypoint changed: `false`\\n- closeout type: full project retrospective and future update-direction recalibration after NOW-33A\\n- authority effect: planning/control-plane only; no registry build, UID replay, KG/raw KG writeback, row mutation, asset binding, evidence creation, provider/media execution, feedback, repair, replay, route transition, output-index mutation, or production acceptance\\n\\nThis retrospective answers the current operator concern: after NOW-33 and NOW-33A both \\\"收口\\\", what did those closeouts actually mean, and what is the concrete next mainline rather than walking step by step without a calibrated stage order?\\n\\n## Artifact Basis\\n\\n- Output run: `outputs/post_now33a_full_project_recalibration_20260606_1918`\\n- Gate: `outputs/post_now33a_full_project_recalibration_20260606_1918/POST_NOW33A_full_project_recalibration_gate.json`\\n- Strategy: `outputs/post_now33a_full_project_recalibration_20260606_1918/POST_NOW33A_update_direction_strategy.json`\\n- Detail rules: `outputs/post_now33a_full_project_recalibration_20260606_1918/POST_NOW33A_next_stage_detail_rules.json`\\n- Validation report: `outputs/post_now33a_full_project_recalibration_20260606_1918/POST_NOW33A_recalibration_validation_report.json`\\n- Review HTML: `outputs/post_now33a_full_project_recalibration_20260606_1918/POST_NOW33A_full_project_recalibration_review.html`\\n\\nValidation result:\\n\\n- gate status: `post_now33a_registry_first_recalibration_pass`\\n- validator status / failures: `pass / 0`\\n- next primary lane: `target_source_grounded_entity_registry_build_contract_before_uid_binding_replay_or_asset_binding`\\n- current registry file created: `false`\\n- canonical UID replayed: `false`\\n- forbidden side-effect counts: all `0`\\n\\n## DeepSeek Advisory Basis\\n\\nThis is a high-impact strategy, quality-gate, and next-contract definition decision. Two DeepSeek v4 pro thinking/max consultation rounds were run before finalizing the advisory basis.\\n\\nRound 1:\\n\\n- path: `outputs/post_now33a_full_project_recalibration_deepseek_consultation_20260606_1908`\\n- parse status: `pass`\\n- verdict: `supports_post_now33a_registry_first_recalibration`\\n- confidence: `high`\\n- recommended primary lane: `target_source_grounded_entity_registry_build_contract_before_uid_binding_replay_or_asset_binding`\\n- finding counts: `low=3`\\n\\nRound 1 low findings were absorbed as follows:\\n\\n- relation/group fields are allowed only as optional review extensions and cannot bypass `validate_entity_registry` or create writeback authority.\\n- `blocked_for_review` was added as an explicit target-build extension concept.\\n- LLM type/subtype/facet work remains advisory-only and validator-constrained.\\n\\nRound 2:\\n\\n- path: `outputs/post_now33a_full_project_recalibration_deepseek_consultation_round2_20260606_1913`\\n- parse status: `pass`\\n- verdict: `round1_supported_with_corrections`\\n- confidence: `high`\\n- finding counts: `low=2`\\n\\nRound 2 low findings were absorbed as follows:\\n\\n- `blocked_for_review` must be explicit boolean for every target registry build candidate, not merely optional prose.\\n- candidates with insufficient evidence must set `blocked_for_review=true`, `review_status=needs_review`, `locked=false`, and non-empty `blocked_for_review_reasons`.\\n- DeepSeek high/blocker findings block by default only as program-validator inputs. A finding may be rejected only through a logged program-owned `advisory_finding_disposition_report` with artifact refs, policy citations, deterministic rationale, and validator result. That disposition still has no evidence, KG/writeback, row mutation, asset, route, output-index, or production-acceptance authority.\\n\\nNo Round 3 is required because both rounds returned parse pass, high confidence, no high/blocker findings, no detected overreach, no state-authority violation, and no unresolved ambiguity after corrections.\\n\\nDeepSeek remains advisory-only. It did not create provider/manual/operator evidence, operator production acceptance, registry authority, KG/raw KG/entity-store writeback, row mutation, asset binding, route authority, feedback/replay action, or output-index authority.\\n\\n## Evidence Basis\\n\\nP计划 V2 final closeout remains the upstream neutral-prompt/readiness baseline:\\n\\n- run: `outputs/p_plan_v2_24_p_plan_final_closeout_20260605_0742`\\n- chapter packages: `20`\\n- neutral draft / held / debt rows: `1638/240/247`\\n- fully-ready / partial-or-held chapters: `13/7`\\n- provider prompt syntax / production accepted / validator failures: `0/0/0`\\n\\nNOW-32 control-plane hardening remains valid:\\n\\n- contract: `docs/now32_prompt_readiness_manual_execution_control_plane_hardening_contract_20260606.md`\\n- meaning: evidence taxonomy, template/advisory separation, future manual-log boundary, manifest-driven held/debt invariant, and no execution/writeback authorization.\\n\\nNOW-32..35 advisory controlled closeout remains valid:\\n\\n- output run: `outputs/now32_35_advisory_controlled_closeout_20260606_0419`\\n- status: `advisory_assessment_completed_non_execution`\\n- draft / held / debt rows: `1638/240/247`\\n- rows missing canonical entity UID: `1638`\\n- missing real reference asset slots: `3276`\\n- structural failure rows: `0`\\n- forbidden side-effect counts: all `0`\\n\\nNOW-33 read-only entity-link advisory is closed:\\n\\n- output run: `outputs/now33_entity_link_binding_advisory_20260606_1544`\\n- closeout: `advisory_entity_link_binding_closed_missing_registry_no_writeback`\\n- manifest rows: `1638`\\n- current canonical registry status: `missing_current_canonical_registry`\\n- candidate entity refs / canonical UID bindings: `0/0`\\n\\nNOW-33A current registry authority preflight is closed:\\n\\n- output run: `outputs/now33a_current_registry_preflight_20260606_1829`\\n- closeout: `current_registry_preflight_pass_no_eligible_registry_recorded`\\n- target chapters / draft rows: `20/1638`\\n- registry candidates inspected / eligible: `11/0`\\n- current registry import status: `no_eligible_current_registry_candidate_found`\\n- target source fingerprint: `c5d6ab4f5d8bc0aa4a018ebe6daec3315b0d646cb189b1a4fb28fe9a6e23ba34`\\n- target full source sha256: `72df08dce82c0be4622d16060725b0287b1badbb3a979756336148212d6f1d07`\\n- forbidden side-effect counts: all `0`\\n\\n## What \\\"NOW-33/33A Closed\\\" Means\\n\\nNOW-33 is closed only as a read-only advisory missing-registry closeout. It did not successfully bind canonical entity UIDs.\\n\\nNOW-33A is closed only as a read-only current registry authority preflight. It did not build, import, create, or configure a current registry.\\n\\nTogether they changed the known blocker:\\n\\n- before NOW-33: \\\"rows lack canonical entity UID binding\\\"\\n- after NOW-33: \\\"UID binding cannot proceed because current canonical registry is missing\\\"\\n- after NOW-33A: \\\"existing registry cand\", \"truncated\": true}, \"source_authority\": {\"historical_registry_candidates_reference_only\": true, \"now33_manifest_row_count\": 1638, \"p2v17_chapter_count\": 20, \"p2v22_draft_row_count\": 1638, \"target_chapter_sha256s\": [\"1332e845cec5b8d7ff61dac2ceae98c693fe1bf64370e88b82f6e303ac9047f2\", \"1c85a7ece733676be2d091577f93b2f6b0d8541e1974298717cf22eceacc370c\", \"3e8770935d757bf83b352a6ea21e8d5b03af9e4b77c601b6e247c1f29a5e80fe\", \"3fd156e7f5cd08ed3492bf7a9f1210c387ecf4d833f75d9c94c76552380c26ff\", \"41df92039afa9acc93ef9bf816a0b031e0216684e9d5b135c5e57222fd000e81\", \"58b36a47c007d472685f7384886b993ae840a2bf97e259046093fd84e5d665cd\", \"6e6dbe8165ee06a197cf4ab2f62ab464c8e5576120bc6792c9772d1055faf121\", \"805779eb5ab0b824bb22b7591487cb8abb3b94954b4a63c094ec56dc0b0179af\", \"8d35170e163c62b83f986ecfed1059d8c4426a923555190b87f2308386f223ff\", \"91ecc055d0da9056673680723a26c744c868a33fc84b326a83332826f731d1c1\", \"a39166617d940ff2333e96d9373f2872688501460a7221c99f4ac6ea505cc6bd\", \"a409de2ddbe16716dd1e9fd80a47f524c83bcbe872ade95463a6fa1cfe892e09\", \"a6e792c16408f864aa3c42b97c85adca594449113ed460c9b8f73de9b520942e\", \"b51df0f2c7294cf2d6deb2d858f24074edb5d7d40e353c444cdf319468488065\", \"bb2e7f53a00a8bd55533e220e74e58bad9d91c2b358034eba80c0f4c53c1eefb\", \"e7a761a1c4bfc94c94f12ad8d50fc6879979a1d6262d964af472f1a073085ce2\", \"f07ca4b18f3395c361ab7e781d46068429dc5af3747ed207256163236b998ee5\", \"f1d2f0a7f9fec4e08672a178bd78d04c72bacce341bdefe56616fe0b844e06f9\", \"f735aa14135262644063f01a6d03686b02e3c4a45409178a30419ceb4697db3b\", \"f919b015c5f38909b566c5a7681b6e9e5605bc3dfcb2b26c6612753fb420f6d4\"], \"target_draft_source_sha256s\": [\"1332e845cec5b8d7ff61dac2ceae98c693fe1bf64370e88b82f6e303ac9047f2\", \"1c85a7ece733676be2d091577f93b2f6b0d8541e1974298717cf22eceacc370c\", \"3fd156e7f5cd08ed3492bf7a9f1210c387ecf4d833f75d9c94c76552380c26ff\", \"41df92039afa9acc93ef9bf816a0b031e0216684e9d5b135c5e57222fd000e81\", \"58b36a47c007d472685f7384886b993ae840a2bf97e259046093fd84e5d665cd\", \"6e6dbe8165ee06a197cf4ab2f62ab464c8e5576120bc6792c9772d1055faf121\", \"805779eb5ab0b824bb22b7591487cb8abb3b94954b4a63c094ec56dc0b0179af\", \"8d35170e163c62b83f986ecfed1059d8c4426a923555190b87f2308386f223ff\", \"91ecc055d0da9056673680723a26c744c868a33fc84b326a83332826f731d1c1\", \"a39166617d940ff2333e96d9373f2872688501460a7221c99f4ac6ea505cc6bd\", \"a409de2ddbe16716dd1e9fd80a47f524c83bcbe872ade95463a6fa1cfe892e09\", \"a6e792c16408f864aa3c42b97c85adca594449113ed460c9b8f73de9b520942e\", \"b51df0f2c7294cf2d6deb2d858f24074edb5d7d40e353c444cdf319468488065\", \"bb2e7f53a00a8bd55533e220e74e58bad9d91c2b358034eba80c0f4c53c1eefb\", \"e7a761a1c4bfc94c94f12ad8d50fc6879979a1d6262d964af472f1a073085ce2\", \"f07ca4b18f3395c361ab7e781d46068429dc5af3747ed207256163236b998ee5\", \"f1d2f0a7f9fec4e08672a178bd78d04c72bacce341bdefe56616fe0b844e06f9\", \"f735aa14135262644063f01a6d03686b02e3c4a45409178a30419ceb4697db3b\", \"f919b015c5f38909b566c5a7681b6e9e5605bc3dfcb2b26c6612753fb420f6d4\"], \"target_full_source_sha256s\": [\"72df08dce82c0be4622d16060725b0287b1badbb3a979756336148212d6f1d07\"], \"target_source_fingerprint\": \"c5d6ab4f5d8bc0aa4a018ebe6daec3315b0d646cb189b1a4fb28fe9a6e23ba34\", \"target_source_path\": \"/wwwb/aitools/writer/input/红楼梦（原文版）.txt\", \"target_work_id\": \"hongloumeng_project_gutenberg_first20\"}, \"uid_schema_report\": {\"created_at\": \"2026-06-06T16:29:23.627218Z\", \"duplicate_uid_count\": 0, \"duplicate_uids\": [], \"entity_count\": 912, \"entity_uid_count\": 912, \"invalid_prefix_count\": 0, \"invalid_prefix_uids\": [], \"uid_policy\": {\"disambiguator_rule\": \"empty by default; if duplicate canonical_name/type groups appear in a future split, use stable source-ref fingerprint rather than row/order ordinal\", \"fingerprint_inputs\": [\"target_work_id\", \"normalized canonical_name\", \"entity type\", \"first 8 sorted unique source refs\", \"disambiguator\"], \"llm_uid_authority_allowed\": false, \"owner\": \"program\", \"prefix\": \"HLMENT\", \"row_order_dependent\": false, \"strongest_source_refs_rule\": \"sort unique source refs by chapter_index, scene_number, shot_number, draft_row_id; take first 8 for fingerprint stability\"}, \"unique_entity_uid_count\": 912, \"version\": \"target_registry_uid_schema_report.v1\"}}, \"expected_json_schema\": {\"confidence\": \"high | medium | low\", \"final_recommendation\": \"short string\", \"findings\": [{\"category\": \"source_authority | extraction | registry_schema | uid | blocked_review | boundary | artifact | other\", \"description\": \"short\", \"required_fix\": \"short\", \"severity\": \"blocker | high | medium | low\"}], \"required_corrections\": [\"short string\"], \"round1_critique\": {\"boundary_violation_detected\": \"boolean\", \"hallucination_risk_detected\": \"boolean\", \"missing_assumption_detected\": \"boolean\", \"operator_constraints_respected\": \"boolean\", \"overreach_detected\": \"boolean\"}, \"round2_verdict\": \"round1_supported_with_corrections | round1_supported_no_corrections | round1_needs_fix | blocks_registry_build\"}, \"hard_boundary\": \"Do not claim provider/manual/operator evidence, production acceptance, current canonical registry authority, KG/raw KG/entity-store writeback authority, UID replay/write authority, row mutation authority, asset binding authority, feedback/replay authority, route authority, or outputs-index authority.\", \"input_fingerprint\": \"d0dba7724579f7a7a40813e1001f2aefec2a45fcb487801fe7110df9e8cf1094\", \"previous_round\": {\"dir\": \"/wwwb/aitools/writer/outputs/target_source_grounded_entity_registry_deepseek_consultation_20260607_0027\", \"parsed\": {\"blocked_review_policy_supported\": true, \"boundary_policy_supported\": true, \"candidate_registry_artifact_supported\": true, \"confidence\": \"high\", \"finding_counts\": {\"low\": 3}, \"findings\": [{\"category\": \"uid\", \"description\": \"UID fingerprint rule references 'strongest source refs' without a precise deterministic rule; ambiguity may lead to UID instability across rebuilds.\", \"required_fix\": \"Define 'strongest source refs' as the sorted, deduplicated list of all source-evidence ref IDs for the candidate, or adopt a canonical subset selection rule.\", \"severity\": \"low\"}, {\"category\": \"uid\", \"description\": \"The disambiguator for duplicate (name, type) pairs is mentioned but not algorithmically defined; inconsistent disambiguation could cause collision or drift.\", \"required_fix\": \"Specify a deterministic disambiguator, e.g., appended '-<ref_hash>' based on the sorted set of source refs or an ordinal within the equivalence class.\", \"severity\": \"low\"}, {\"category\": \"extraction\", \"description\": \"Semantic type/subtype assignment relies on LLM advisory; while constrained by validators, it may produce many blocked entries (884) and occasional misclassifications.\", \"required_fix\": \"Ensure all LLM-assigned types/subtypes are validated against the allowed ontology. For uncertain cases, default to '其他' and mark for review; this is already partially addressed by the blocked-review mechanism.\", \"severity\": \"low\"}], \"overall_verdict\": \"supports_target_source_grounded_registry_build\", \"parse_status\": \"pass\", \"raw_parsed\": {\"blocked_review_policy_supported\": true, \"boundary_policy_supported\": true, \"candidate_registry_artifact_supported\": true, \"confidence\": \"high\", \"findings\": [{\"category\": \"uid\", \"description\": \"UID fingerprint rule references 'strongest source refs' without a precise deterministic rule; ambiguity may lead to UID instability across rebuilds.\", \"required_fix\": \"Define 'strongest source refs' as the sorted, deduplicated list of all source-evidence ref IDs for the candidate, or adopt a canonical subset selection rule.\", \"severity\": \"low\"}, {\"category\": \"uid\", \"description\": \"The disambiguator for duplicate (name, type) pairs is mentioned but not algorithmically defined; inconsistent disambiguation could cause collision or drift.\", \"required_fix\": \"Specify a deterministic disambiguator, e.g., appended '-<ref_hash>' based on the sorted set of source refs or an ordinal within the equivalence class.\", \"severity\": \"low\"}, {\"category\": \"extraction\", \"description\": \"Semantic type/subtype assignment relies on LLM advisory; while constrained by validators, it may produce many blocked entries (884) and occasional misclassifications.\", \"required_fix\": \"Ensure all LLM-assigned types/subtypes are validated against the allowed ontology. For uncertain cases, default to '其他' and mark for review; this is already partially addressed by the blocked-review mechanism.\", \"severity\": \"low\"}], \"overall_verdict\": \"supports_target_source_grounded_registry_build\", \"recommended_closeout_label\": \"target_source_grounded_registry_build_design_audit_round1_pass_with_low_findings\", \"required_corrections\": [], \"source_authority_supported\": true, \"uid_policy_supported\": true}, \"recommended_closeout_label\": \"target_source_grounded_registry_build_design_audit_round1_pass_with_low_findings\", \"required_corrections\": [], \"round_id\": \"round1\", \"source_authority_supported\": true, \"uid_policy_supported\": true}, \"record\": {\"advisory_only\": true, \"call_status\": \"success\", \"created_at\": \"2026-06-06T16:28:35.437022Z\", \"message_fingerprint\": \"ceb136f92dd3779d3be628d1973dfb7c68155fddb5e74b3cb9a4e788e90b25c1\", \"not_evidence_or_acceptance_or_route_authority\": true, \"parse_status\": \"pass\", \"provider_meta\": {\"base_url\": \"https://api.deepseek.com/chat/completions\", \"max_tokens\": 32000, \"model\": \"deepseek-v4-pro\", \"provider\": \"deepseek_reviewer\", \"reasoning_effort\": \"max\", \"skipped\": false, \"temperature\": 0.0, \"thinking_type\": \"enabled\", \"timeout_seconds\": 600}, \"round_id\": \"round1\", \"stage\": \"target_source_grounded_entity_registry_build\", \"version\": \"target_source_grounded_entity_registry_build_deepseek_consultation.v1\"}}, \"role\": \"DeepSeek v4 pro thinking/max independent advisory reviewer. Advisory only.\", \"round_id\": \"round2\", \"task\": \"Audit target-source-grounded current entity registry candidate build. Return JSON only.\"}"
    }
  ],
  "message_fingerprint": "6f965360bfdbb526bca9cadc77411f7c5e08bf654f710ae667b699183c3baf56",
  "response_text": "{\n  \"round1_critique\": {\n    \"boundary_violation_detected\": false,\n    \"hallucination_risk_detected\": false,\n    \"missing_assumption_detected\": false,\n    \"overreach_detected\": false,\n    \"operator_constraints_respected\": true\n  },\n  \"round2_verdict\": \"round1_supported_with_corrections\",\n  \"findings\": [\n    {\n      \"category\": \"extraction\",\n      \"description\": \"Entity extraction from prompt-draft rows frequently captures short action phrases, stage directions, or adverbial fragments rather than core narrative entities (e.g., '一手扶丰儿', '倒酒', '低声细'). This inflates the blocked-for-review count to 884/912 and may hinder the registry's practical utility for entity linking.\",\n      \"required_fix\": \"Tighten extraction logic to distinguish content-bearing entities from transient linguistic fragments. Consider filtering out items below a minimum semantic weight or those that are solely meta-instructions.\",\n      \"severity\": \"medium\"\n    },\n    {\n      \"category\": \"extraction\",\n      \"description\": \"Type/subtype classification relies heavily on LLM advisory with limited validation, resulting in 185 candidates marked 'type_subtype_uncertain' and a large '其他' category. This increases manual review burden and may propagate misclassifications downstream.\",\n      \"required_fix\": \"Improve the LLM prompt with explicit examples and enforce stricter mapping to the allowed ontology. For ambiguous cases, default to '其他' but flag for review, and consider a secondary human-in-the-loop refinement pass before the registry is considered authority-satisfying.\",\n      \"severity\": \"low\"\n    },\n    {\n      \"category\": \"source_authority\",\n      \"description\": \"Many blocked candidates have only a single P2V-22 draft row as source evidence, which is marked as 'insufficient_source_evidence'. While the contract permits draft rows as evidence, the extraction does not always verify whether the entity originates from the underlying novel text, weakening the 'source-grounded' claim for low-evidence items.\",\n      \"required_fix\": \"Add an optional cross-reference step against the original novel text or P2V-17 chapter rows to boost evidence confidence for critical entities. Retain the blocked status unless such corroboration is obtainable.\",\n      \"severity\": \"low\"\n    }\n  ],\n  \"required_corrections\": [\n    \"Refine entity extraction criteria to reduce non-entity phrase collection.\",\n    \"Enhance LLM type/subtype classification with stricter guidelines and validation.\",\n    \"Optionally cross-check low-evidence candidates against original source or P2V-17 rows.\"\n  ],\n  \"confidence\": \"medium\",\n  \"final_recommendation\": \"The registry candidate build respects boundaries and operator constraints, and Round 1's design audit remains sound. However, the high volume of blocked candidates and extraction quality issues warrant corrective actions before advancing to UID binding or downstream use. Proceed with refinements, but do not block the overall registry build pipeline.\"\n}",
  "raw_response": {
    "id": "97c0bb94-dca1-406d-bbfe-33cb4a4ffde2",
    "object": "chat.completion",
    "created": 1780763363,
    "model": "deepseek-v4-pro",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "{\n  \"round1_critique\": {\n    \"boundary_violation_detected\": false,\n    \"hallucination_risk_detected\": false,\n    \"missing_assumption_detected\": false,\n    \"overreach_detected\": false,\n    \"operator_constraints_respected\": true\n  },\n  \"round2_verdict\": \"round1_supported_with_corrections\",\n  \"findings\": [\n    {\n      \"category\": \"extraction\",\n      \"description\": \"Entity extraction from prompt-draft rows frequently captures short action phrases, stage directions, or adverbial fragments rather than core narrative entities (e.g., '一手扶丰儿', '倒酒', '低声细'). This inflates the blocked-for-review count to 884/912 and may hinder the registry's practical utility for entity linking.\",\n      \"required_fix\": \"Tighten extraction logic to distinguish content-bearing entities from transient linguistic fragments. Consider filtering out items below a minimum semantic weight or those that are solely meta-instructions.\",\n      \"severity\": \"medium\"\n    },\n    {\n      \"category\": \"extraction\",\n      \"description\": \"Type/subtype classification relies heavily on LLM advisory with limited validation, resulting in 185 candidates marked 'type_subtype_uncertain' and a large '其他' category. This increases manual review burden and may propagate misclassifications downstream.\",\n      \"required_fix\": \"Improve the LLM prompt with explicit examples and enforce stricter mapping to the allowed ontology. For ambiguous cases, default to '其他' but flag for review, and consider a secondary human-in-the-loop refinement pass before the registry is considered authority-satisfying.\",\n      \"severity\": \"low\"\n    },\n    {\n      \"category\": \"source_authority\",\n      \"description\": \"Many blocked candidates have only a single P2V-22 draft row as source evidence, which is marked as 'insufficient_source_evidence'. While the contract permits draft rows as evidence, the extraction does not always verify whether the entity originates from the underlying novel text, weakening the 'source-grounded' claim for low-evidence items.\",\n      \"required_fix\": \"Add an optional cross-reference step against the original novel text or P2V-17 chapter rows to boost evidence confidence for critical entities. Retain the blocked status unless such corroboration is obtainable.\",\n      \"severity\": \"low\"\n    }\n  ],\n  \"required_corrections\": [\n    \"Refine entity extraction criteria to reduce non-entity phrase collection.\",\n    \"Enhance LLM type/subtype classification with stricter guidelines and validation.\",\n    \"Optionally cross-check low-evidence candidates against original source or P2V-17 rows.\"\n  ],\n  \"confidence\": \"medium\",\n  \"final_recommendation\": \"The registry candidate build respects boundaries and operator constraints, and Round 1's design audit remains sound. However, the high volume of blocked candidates and extraction quality issues warrant corrective actions before advancing to UID binding or downstream use. Proceed with refinements, but do not block the overall registry build pipeline.\"\n}",
          "reasoning_content": "We need to produce a Round 2 audit in JSON format. The input includes a lot of context about the entity registry build, including Round 1 findings, contract, candidate sample, etc. We are asked to critique Round 1 and the candidate build for overreach, hallucination, boundary violations, missing source assumptions, weak authority claims, and operator constraints. Then we must provide the round2_verdict, findings, required corrections, etc.\n\nThe user message is an \"advisory_question\" with the instruction: \"Round 2: critique Round 1 and the candidate build for overreach, hallucination, boundary violations, missing source assumptions, weak authority claims, and operator constraints.\"\n\nWe need to return compact JSON only, following the expected schema.\n\nFirst, understand the context: This is a second round review of a candidate entity registry build process. The round1 review already occurred, with some low findings. We need to examine the candidate build itself (the sample candidate entries, the ambiguity report, etc.) and see if there are any issues.\n\nThe candidate build seems to have many blocked candidates (884 blocked, 28 authority-satisfying). The contract specifies that authority-satisfying candidates must have source evidence refs, must not be blocked, etc.\n\nNow, we need to audit for overreach, hallucination, boundary violations, missing source assumptions, weak authority claims, and operator constraints. Overreach might mean the build process is doing something it shouldn't (like claiming authority). Hallucination would be if LLM advisory introduced made-up entities. Boundary violations: going beyond allowed work. Missing source assumptions: perhaps the build relies on assumptions not grounded in the source evidence. Weak authority claims: the registry might not be properly grounded. Operator constraints: the forbidden activities list.\n\nWe must also critique round1 itself: was round1 too lenient? Did it miss issues? Round1 had low findings about UID fingerprint rule and type/subtype assignment. We can see if those are still issues.\n\nLet's analyze the provided candidate sample and the blocked candidates. The sample shows many entities that seem to be short descriptive phrases from prompt drafts (like \"一手扶丰儿\", \"万艳同杯\", \"三日后过门\", etc.) These are not typical named entities; they are action snippets or descriptive phrases. The registry is extracting entities from the AI-generated prompt drafts, which are descriptions of scenes including audio/visual direction, not just narrative text. This is a crucial point: the source evidence is the prompt draft rows (P2V22 draft rows). Those rows contain a mix of narrative, stage directions, sound effects, etc. So the \"entities\" being extracted might be over-fragmented or misclassified.\n\nThe advisory question: \"Round 2: critique Round 1 and the candidate build for overreach, hallucination, boundary violations, missing source assumptions, weak authority claims, and operator constraints.\" So we need to produce a critique.\n\nNow, construct the JSON.\n\nWe'll need:\n\n- round1_critique: object with fields boundary_violation_detected, hallucination_risk_detected, missing_assumption_detected, overreach_detected, operator_constraints_respected (boolean).\n- round2_verdict: one of \"round1_supported_with_corrections\", \"round1_supported_no_corrections\", \"round1_needs_fix\", \"blocks_registry_build\"\n- findings: list of objects with category, description, required_fix, severity.\n- required_corrections: list of short strings.\n- confidence: high/medium/low\n- final_recommendation: short string.\n\nWe must not claim evidence or authority, etc., per advisory-only.\n\nLet's evaluate the candidate build:\n\nOverreach: The build is supposed to be advisory-only and not claim canonical authority. It seems that the ambiguity report is correctly labeling candidates as blocked_for_review, and the registry build is only a candidate. However, we need to check if any of the authority-satisfying candidates (28) are actually properly grounded. The sample shows mostly blocked ones. But the 28 authority-satisfying candidates are not shown in the sample. The sample includes 30 blocked candidates. So we can't assess those directly. But we can infer potential issues from the extraction approach.\n\nHallucination: Are there entities that have no source evidence? The blocked candidates have insufficient_source_evidence because they have only 1 source ref or are ambiguous. The source refs are P2V22DRAFTCH... which are prompt draft rows. So they are not from the original novel directly but from the AI-generated adaptation plan. The source authority is the original novel text, but the extraction is from the adaptation plan. The contract says \"target source-grounded\" but the source refs are the draft rows, not the novel text. That could be a missing assumption: what exactly constitutes source evidence? The contract says valid refs may point to target chapter sha256, full source sha256, P2V-17 chapter row, P2V-22 draft row source ref, or source span/quote window. So using P2V-22 draft rows is allowed as source evidence. But these draft rows are themselves derivative works. However, the contract explicitly allows them. So no violation there.\n\nBut many entities seem to be derived from very short snippets that might not be proper entities. For example, \"一手扶丰儿\" is a phrase describing an action; \"丰儿\" is the actual person. So the extraction might be too granular, treating each phrase as an entity. That could be a hallucination risk if the LLM is over-generating. The round1 finding about semantic type/subtype assignment being LLM-driven and misclassifications is related.\n\nBoundary: The build created a candidate registry and associated reports, and it's in the process of review. It didn't change execution_state.json. So no boundary violations detected from the output. However, we should check if the build process did any forbidden work. Since we only have the resulting reports, we can't be sure, but the contract says it's allowed. So seems fine.\n\nMissing source assumptions: Could be that the extraction assumes that every unique phrase in the draft rows corresponds to a distinct entity, leading to many one-off entities that are not meaningful. That might weaken the registry's utility. But it's noted as ambiguous and blocked. So it's okay for now.\n\nWeak authority claims: The registry build might be claiming to be \"source-grounded\" but the grounding is weak because the source evidence is from an intermediate adaptation, not the original text. However, the contract explicitly allows using draft rows. So that's within the defined authority.\n\nNow, round1 critique: Did round1 detect overreach or boundary violations? It found low findings and recommended supporting the build. It might have been too lenient if it didn't consider the quality of the extracted entities. However, as an advisory review, round1 focused on the contract's design, not the actual build output. Since round1 happened before the build (it was a design audit), it couldn't have critiqued the actual candidate entries. But the current round2 is to critique both round1 and the candidate build. So we need to mention that round1 appropriately identified some design issues but didn't (couldn't) assess the actual build's output quality because the build didn't exist yet. Round2 should also note if the build's output exhibits any of those design issues.\n\nThus, round1 appears to have been a solid design review with no overreach or boundary violations. It correctly identified low findings.\n\nNow, for round2_verdict: I'd lean towards \"round1_supported_with_corrections\" because we have some low findings to report about the build output, but no blockers.\n\nFindings:\n\n1. Entity extraction granularity: Many extracted entities are short action descriptions or adverbial phrases rather than proper named entities. This leads to a high blocked rate (884/912) and may dilute the registry's usefulness. The LLM extraction may be overfitting to the prompt draft's meta-language rather than focusing on narrative entities. (severity: medium, because it's a design choice that could be refined later, but it might obstruct progression if not addressed.)\n\n2. Source evidence refs for blocked candidates: Many blocked candidates have only 1 draft row as source evidence, which is flagged as insufficient. However, the draft rows themselves may not directly contain the entity in a way that validates its independent existence. The extraction might be interpreting stage directions as entities. For example, \"倒酒\" (pouring wine) as an entity of type \"其他\". This suggests the extraction logic might need refinement to distinguish actions from entities. (severity: low, as the blocked mechanism handles this, but could improve recall.)\n\n3. Type/subtype classification: A significant number of blocked candidates have \"type_subtype_uncertain\" reason (185 out of 884). The LLM advisory for classification appears to struggle with many entries, especially those labeled \"其他\" with uncertain subtypes. This aligns with round1's low finding about LLM type assignment. The fix could be to restrict extraction to clearly typed entities or to enhance the LLM's prompts. (severity: low)\n\n4. UID generation rule: The fingerprint rule still references \"strongest source refs\" which round1 flagged as ambiguous. The build's uid_schema_report states: \"strongest_source_refs_rule: sort unique source refs by chapter_index, scene_number, shot_number, draft_row_id; take first 8 for fingerprint stability\". This is a deterministic rule now? Actually, the report says: \"strongest_source_refs_rule\": \"sort unique source refs by chapter_index, scene_number, shot_number, draft_row_id; take first 8 for fingerprint stability\". So they defined a rule. But is it robust? If a candidate's source refs change due to addition of more evidence, the UID might change. However, for a static build it's okay. Round1's concern was that a canonical subset selection rule could cause instability across rebuilds. This might still be an issue if the registry is rebuilt later with different source refs. But as long as the UID is derived from the content at build time, it's deterministic. For now, it's low.\n\n5. Operator constraints: The build seems compliant, but we should verify that the output run did not contain any forbidden filenames. Not in this context, but we can note that we see no violation.\n\nWe need to produce boolean flags for round1_critique:\n\n- boundary_violation_detected: false (round1 respected boundaries)\n- hallucination_risk_detected: possible, but round1 didn't detect it because the extraction hadn't happened. So from round1's perspective, it was a design audit and no hallucination risk in the design itself. We might set false.\n- missing_assumption_detected: true? Round1 might have missed the assumption that the draft rows are appropriate as source evidence. But actually the contract explicitly allowed it. So not missing.\n- overreach_detected: false\n- operator_constraints_respected: true\n\nBut we need to be careful: The directive says \"critique Round 1 and the candidate build\". So the round1_critique object is about round1's own performance. So we should flag if round1 itself had boundary violations, hallucination, etc. Round1 was an advisory consultation; we can assess its output (the round1 parsed result). It was a high-level audit with low findings. No boundary violations, no hallucination. So all booleans false for violations, and operator_constraints_respected true.\n\nFor the candidate build, we are critiquing it now. So the findings will reflect issues with the build.\n\nThus, round2_verdict: round1_supported_with_corrections (meaning we support the round1 verdict but add corrections for the build).\n\nRequired corrections could be: \n- Refine entity extraction to reduce action-phrase entities and focus on narrative entities (if that aligns with the project's goals). \n- Enhance type/subtype classification by providing more domain-specific guidance to LLM.\n- Clarify the source evidence refs for entities to ensure they reflect the entity's presence in the original novel, not just the draft's mention, if possible. (But this may not be required per contract.)\n\nBut since the contract is quite permissive, we might only suggest corrections to improve quality.\n\nWe'll set confidence to medium, because the build has a high blocked rate and uncertain quality, but it's within contract.\n\nFinal recommendation: something like \"Proceed with corrections: improve entity extraction granularity and type classification, but no blockers for registry build.\"\n\nNow, assemble JSON.\n\nRemember to include all fields from expected_json_schema:\n\n```\n{\n  \"round1_critique\": {\n    \"boundary_violation_detected\": false,\n    \"hallucination_risk_detected\": false,\n    \"missing_assumption_detected\": false,\n    \"overreach_detected\": false,\n    \"operator_constraints_respected\": true\n  },\n  \"round2_verdict\": \"round1_supported_with_corrections\",\n  \"findings\": [ ... ],\n  \"required_corrections\": [ ... ],\n  \"confidence\": \"medium\",\n  \"final_recommendation\": \"...\"\n}\n```\n\nWe'll produce at least 2-3 findings.\n\nAlso note: The output must be compact JSON only.\n\nNow let's write the findings in detail.\n\nFinding 1: Extraction granularity issue, many non-entity phrases extracted. Severity medium because it hampers registry usefulness.\n\nFinding 2: Type/subtype assignment uncertainty under LLM advisory, leading to high 'other' and uncertain classifications.\n\nFinding 3: Potential over-reliance on single draft-row source refs without cross-validation against the original text, weakening source grounding for some candidates.\n\nBut the contract allows draft rows. So perhaps we should be careful not to contradict the contract. However, as a quality improvement, we can note that. Severity low.\n\nActually, we should check the contract: \"Every authority-satisfying candidate must have at least one target-source evidence ref resolving to the current target source basis.\" And valid refs include P2V-22 draft row source ref. So having a draft row ref is sufficient for authority-satisfying. So the blocked candidates are those with insufficient_source_evidence (maybe only one draft row, but still insufficient?). The policy says blocked for insufficient_source_evidence if source_evidence_ref_count=1? Not necessarily; the build seems to have a rule that candidates with only 1 ref are insufficient. That's a heuristic. Not a contract violation.\n\nBut we can still note that the extraction methodology might be generating many low-evidence candidates. That is a design critique.\n\nFor round1_critique, we could say missing_assumption_detected: true if we think round1 should have anticipated that draft-row source refs could produce fragmented entities. But round1 did note the type/subtype assignment issue. We'll keep false.\n\nNow, craft final JSON.\n\nI'll set confidence to medium. Final recommendation: \"The candidate registry build is structurally valid and policy-compliant; however, the high proportion of blocked candidates and entity extraction quality indicate that further refinement is needed before downstream use. Round1 design audit is supported with additional quality-correction recommendations.\"\n\nNow, produce JSON."
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