epstein-data / PROVENANCE.md
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v2: Add financial, events, curated docs; upgrade 604 DS10 files
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# Data Provenance
Per-table documentation of data sources, extraction methods, and quality notes.
## documents
**1,424,673 rows.** One row per PDF file from the DOJ Epstein release.
- **856,028 files** processed with **Gemini 2.5 Flash Lite** ($0.10/$0.40 per 1M tokens). Full structured extraction: document type classification, date parsing, entity extraction, handwriting/stamp detection, photo description.
- **531,279 files** (DataSet 9) imported from the [rhowardstone/Epstein-research-data](https://github.com/rhowardstone/Epstein-research-data) community project using **Tesseract OCR**. Raw text only — no entity extraction or document classification. These have `ocr_source = 'tesseract-community'`.
- **1,377 files** originally Tesseract, upgraded to Gemini in v2 (604 from DS10, 773 from other datasets).
- **37,369 files** have `is_photo = true` (photos, stamps, blank pages).
- `email_fields` column (new in v2): JSON-encoded email metadata (from, to, cc, subject, date) for email-type documents.
Distinguish OCR source: `ocr_source IS NULL` = Gemini, `ocr_source = 'tesseract-community'` = community.
## entities
**10,629,198 rows.** Named entities extracted from documents.
- Gemini documents: entities come from the structured JSON extraction prompt (types: person, organization, location, date, reference_number, email_address, phone_number, monetary_amount).
- Community documents: entities from post-processing NER pipeline.
- Entity `normalized_value` provides cleaned/canonical forms where available.
## chunks
**2,193,090 rows.** Text chunks for RAG (retrieval-augmented generation).
- ~800 token target per chunk with overlap at sentence boundaries.
- `char_start` and `char_end` map back to the parent document's `full_text`.
## embeddings_chunk
**2,111,356 rows.** 768-dimensional float32 vectors from `gemini-embedding-001`.
- ~96% coverage (documents with malformed text excluded).
- Stored as `list<float32>` in Parquet.
- `source_text_hash` links to the chunk text that was embedded.
## persons
**1,614 rows.** Curated person registry with canonical names, aliases, and categories.
- Categories: perpetrator, victim, associate, other.
- `aliases` field: JSON array of known alternate names/spellings.
- `search_terms`: additional search patterns for entity resolution.
- Community-curated from multiple sources.
## kg_entities / kg_relationships
**467 entities, 2,198 relationships.** Knowledge graph connecting people, organizations, and locations.
- Relationship types: traveled_with, associated_with, employed_by, legal_representative, financial_connection, etc.
- `weight` indicates strength of connection (co-occurrence frequency).
- `evidence` field links to source document file_keys.
## recovered_redactions
**37,870 rows.** Text recovered from under redaction bars using ML reconstruction.
- `interest_score` (0-100) ranks significance of recovered content.
- `names_found` lists person names detected in recovered text.
- Experimental quality — treat as leads, not verified text.
## financial_transactions (NEW in v2)
**49,770 rows.** Credit card and bank transaction records extracted with DeepSeek.
- Source: DOJ-released credit card statements and bank records (DataSet 10/11).
- Extraction model: DeepSeek (per-page structured extraction).
- 31% of raw extractions quarantined for quality issues (hallucinated amounts, duplicate entries, garbled OCR). Only clean records included.
- Flight fields (flight_from, flight_to, flight_carrier, flight_passenger) populated for airline purchases.
- Key cardholders: JEFFREY E EPSTEIN, GHISLAINE MAXWELL, KARYNA SHULIAK, HBRK ASSOCIATES, TERRAMAR PROJECT.
## communication_records (NEW in v2)
**128 rows.** Phone call and cell-site/CDR records.
- Source: DOJ-released phone records.
- 99.8% of raw extractions quarantined (CDR data has very high hallucination rates). Only 128 high-confidence records included.
- Fields: call date/time, duration, direction, location, number called, provider.
## investigative_records (NEW in v2)
**143 rows.** Law enforcement reports, evidence recovery logs, and vehicle/property records.
- Source: FBI, PBSO, and other agency reports in DOJ release.
- 87% of raw extractions quarantined. Only 143 verified records included.
- Record types: law_enforcement_report, evidence_recovery_log, vehicle_property_record.
## derived_events (NEW in v2)
**3,038 events** with **5,751 participants** and **21,910 source document links.**
Three analysis tracks reconstruct Epstein's activities:
- **Calendar track**: Meetings, dinners, appointments from Lesley Groff's daily schedule emails (2011-2016).
- **Travel track**: Flights, hotel stays, ground transport from schedule transitions and AmEx bookings.
- **Financial track**: Gift exchanges, institutional donations, major purchases from bank statements and emails.
Each event links to source EFTA documents via `event_sources` and participants via `event_participants`.
## curated_docs (NEW in v2)
**5,766 gold documents** across 5 investigation subjects: Hoffman (1,526), Gates (2,069), Summers (739), Clinton (765), Black (667).
- Each document annotated with: tier (NUCLEAR/CRITICAL/HIGH/MEDIUM/SUPPORTING), category, date, sender, recipient, headline, key quote, investigative detail.
- `also_appears_as`: JSON array of duplicate EFTA file_keys for the same document.
- Only gold-status documents exported (24,706 rejected documents excluded).
## provenance/files
**1,387,775 rows.** One row per processed file with full pipeline metadata.
- `pdf_sha256`: SHA-256 hash of input PDF.
- `output_sha256`: SHA-256 hash of output JSON.
- `model_used`: OCR model (gemini-2.5-flash-lite, tesseract-community, etc.).
- `input_tokens` / `output_tokens`: API token consumption.
- `validation_score`: automated quality score (0-100).
## provenance/audit_log
**3,711,609 rows.** Append-only forensic audit trail.
- Every pipeline action (file processed, error, retry, fix applied) is logged.
- `checksum` field provides tamper detection on critical operations.
- Timestamps in ISO-8601 format.
## provenance/runs
**123 rows.** Pipeline execution records with timing, worker counts, and costs.