Record the 9% honest speaker number and the identity constraint
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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@@ -121,3 +121,35 @@ The remaining `['Blur']` beat is a true positive that still halts the whole chap
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`caveats/speaker-attribution.md#one-word-halts-chapter`.
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Neither fix is live. The orchestrator container is not rebuilt and the workers are not restarted.
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## 2026-08-11 Rerun from dialogue: the honest speaker number is 9%
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Command: `/job/cancel`, `/stage/clear dialogue`, `./start_workers.sh`, `/job/resume` on job
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`778297bc-e7ce-439d-91b5-8a027060d17f`, twice. `docker compose up -d --build orchestrator` three times.
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Outcome: `dialogue` 116/116. 112 orchestrator tests pass, `worker_vision.py` self-check passes.
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The named-speaker share is 9%, 9 of 95 speech lines, down from a reported 30% that counted fake tails.
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Multi-character panels contribute 0 of 40 lines by design. Single-character panels give 9 of 55. All 9
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binds are `Choi Haeseon`, the row that covers two different women.
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Five defects, four of them found by measuring the run rather than by reading code.
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1. The fake `tail` label, fixed before the run (`decisions/speaker-attribution.md#no-fake-tail`).
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2. The multi-word cast name in the script verifier
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(`decisions/speaker-attribution.md#multiword-cast-names`).
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3. `/stage/clear dialogue` deleted nothing and reported success. dialogue and direct write onto the
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per-panel vision blob and had no `_STAGE_TABLES` entry, so `run_stage_dialogue` saw
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`"dialogue" in vision` and would have skipped all 116 panels. The proof is the second clear:
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116 dialogue blobs and 75 direct blobs stripped that the first had left. This is
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`caveats/audit-open.md#dishonest-clearing` firing exactly where it was filed.
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4. gemma answers the speaker field with whatever the prompt showed, most often the character
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description, and every such answer became a free-form name that no registry entry matched. 28 of 51
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sampled lines (`decisions/speaker-attribution.md#prompt-label-answers`). After the fix, 3 of 95.
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5. All 7 `som_face` lines pointed at a mark whose face paired to no present character, so the
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highest-trust provenance sat on a line with no speaker. Same defect class as the fake tail.
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Identity is now the binding constraint, not attribution. 26 of 113 detected people carry an identity,
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23%, and 25 of the 26 are the one over-merged row. Even perfect balloon binding caps this chapter near
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23% named. The person who does hold an identity is stored as `Lim Seonho` while a separate row is named
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`Seonho` with alias `Lim Seonho`, so either name matches two rows, raises `ambiguous-speaker` and binds
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nothing.
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