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WIP: P27.2 — TripleVerbalizer: KG triples → diverse training pairs via 4 grammar archetypes #320

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toasterson wants to merge 2 commits from claude/wi-019f90cc-p27-2-tripleverbalizer-kg-triples-divers into main
pull from: claude/wi-019f90cc-p27-2-tripleverbalizer-kg-triples-divers
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toasterson commented 2026-08-18 21:06:34 +00:00
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Anima work item 019f90cc-b77c-75c1-bcc6-1e45a650d684.

Second slice of the re-scoped Phase 27. Independent of Phase 26 — can run in parallel with P27.1.

Deliverable: convert verified KG triples into natural-language training pairs using the four grammar archetypes from the phase plan, producing varied surface forms rather than one template per triple.

Why diversity is the requirement, not a nicety: fine-tuning on a single phrasing per fact teaches the model the template, not the fact. The archetypes exist to prevent that, so "does it produce genuinely varied output" IS the acceptance test, not a stretch goal.

Acceptance:

  • Each archetype is exercised and produces grammatical output on a fixed triple sample.
  • Measurable surface diversity across archetypes for the same triple (state the metric used).
  • Only VERIFIED triples are eligible — unverified/low-confidence KG content must not leak into training data. Enforce it here rather than trusting the caller.
  • Deterministic for a fixed triple + archetype + seed, so training runs are reproducible.

Feeds: P27.3 (the LoRA trainer consumes these pairs).

⚠ akh-medu repo. Ignore inherited crates/anima-ai/... paths from the original WI-11 triage.

Anima work item `019f90cc-b77c-75c1-bcc6-1e45a650d684`. Second slice of the re-scoped Phase 27. **Independent of Phase 26** — can run in parallel with P27.1. **Deliverable:** convert verified KG triples into natural-language training pairs using the four grammar archetypes from the phase plan, producing varied surface forms rather than one template per triple. **Why diversity is the requirement, not a nicety:** fine-tuning on a single phrasing per fact teaches the model the template, not the fact. The archetypes exist to prevent that, so "does it produce genuinely varied output" IS the acceptance test, not a stretch goal. **Acceptance:** - Each archetype is exercised and produces grammatical output on a fixed triple sample. - Measurable surface diversity across archetypes for the same triple (state the metric used). - Only VERIFIED triples are eligible — unverified/low-confidence KG content must not leak into training data. Enforce it here rather than trusting the caller. - Deterministic for a fixed triple + archetype + seed, so training runs are reproducible. **Feeds:** P27.3 (the LoRA trainer consumes these pairs). ⚠ akh-medu repo. Ignore inherited `crates/anima-ai/...` paths from the original WI-11 triage.
P27.2 — TripleVerbalizer: KG triples → diverse training pairs via 4 grammar archetypes
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