…iner (#6)

ENVELOPE D3 from 2026-05-11 paired build (Task MemPalace#15, Phase 1 final).

Wires extract_candidates + qwen3_classifier into mempalace.convo_miner
so new diary mining produces wing_lineage drawers in addition to the
operational wing. Phase 1 of Task MemPalace#15 closes with this PR — Phase 2
(60k existing-drawer backfill) is its own scoping task.

Changes:

  - New mempalace/provenance/mining.py with mine_chunk_for_provenance:
    take a chunk, run extract_candidates -> validate with classifier
    (default: qwen3_classifier from D2) -> rewrite transitive
    attributions -> dedupe -> upsert into wing_lineage.

  - Transitive-attribution rewrite (architect-flagged from D2
    calibration case MemPalace#11): when classifier returns speaker name
    (e.g., "James") for text containing "<possessive> <relation>'s"
    (e.g., "his father's saying"), redirect to room=<relation>
    (e.g., "father"). Without rewrite, "Tonight James reminded me:
    'measure twice' — his father's saying" files under room='james'
    and a future search for "father saying" misses it.

  - Dedup by (person, quote, source_file) hash baked into the
    drawer_id. Re-mining same source -> existing drawer; same
    attribution in different source files -> distinct drawers
    (intentional — distinct attribution events tracked separately).

  - MEMPALACE_PROVENANCE_DISABLED env var (truthy: 1/true/yes,
    case-insensitive) makes mine_chunk_for_provenance a no-op. For
    environments where the classifier substrate is unavailable, CI,
    fresh checkouts, or backfill jobs that handle their own pass.

  - convo_miner._file_chunks_locked: after the operational upsert
    inside the per-chunk loop, call mine_chunk_for_provenance. Run
    AFTER operational durability is established so a slow classifier
    call doesn't delay the canonical write. Failure-soft at three
    layers: the inner call is itself failure-soft, the convo_miner
    wrapper catches anything that escapes, operational mining
    proceeds regardless.

  - DEFAULT_CONFIDENCE_THRESHOLD = 0.7 per design doc §D1.
    D2 calibration showed positives at 0.90-0.95 and negatives at
    0.00 — 0.7 sits cleanly in the gap. Tunable via kwarg.

Schema (per Provenance-Preservation-Design §D3):
  Drawer content rendered as YAML-ish PROVENANCE: block with
  Person / Relation / Quote / Context / Source lines. Metadata
  includes wing=wing_lineage, room=<person_slug>, person,
  relation_type, is_quote, confidence, extracted_by, source_file,
  source_session, filed_at, filed_at_ts.

Tests (14 new in test_provenance_mining.py; 62 total mempalace
provenance tests):

  - Happy path: chunk + accepting classifier -> 1 wing_lineage
    drawer with correct meta + design-doc content shape.
  - Threshold: below-default-threshold rejected; custom threshold
    lets lower-confidence through.
  - Dedup: same chunk+source twice -> 1 drawer; different sources
    -> distinct drawers.
  - Disabled mode: MEMPALACE_PROVENANCE_DISABLED with 1/true/yes
    variants all yield 0 drawers.
  - No-candidates returns 0; operational mining unaffected.
  - Failure-soft: classifier raising -> 0 drawers, no crash.
  - Transitive-attribution rewrite (case MemPalace#11): classifier surfaces
    speaker name, _rewrite_speaker_to_source redirects to relation
    when "<possessive> <relation>'s" appears in candidate or context.
  - Unit tests on _rewrite_speaker_to_source directly (positive,
    negative, None-input cases).
  - End-to-end convo_miner integration: _file_chunks_locked with a
    chunk produces BOTH operational drawer (wing=wing_test) AND
    wing_lineage drawer (wing=wing_lineage).

62/62 pass in <100ms (no live substrate required — tests inject
mock classifiers).

Phase 1 status after this merges:
  - D1 (PR #4): heuristic + classifier interface — MERGED
  - D2 (PR #5): qwen3_classifier + Pass-3 + calibration — MERGED
  - D3 (this PR): mining integration — pending
  After merge: forward-only provenance preservation is operational.
  No new diary mining loses biographical/relational lineage.
  Phase 2 (60k existing-drawer backfill) is a separate scoped task.