Triple

T9197765
Position Surface form Disambiguated ID Type / Status
Subject Philippe de Broca E220758 entity
Predicate familyName P18 FINISHED
Object de Broca E220758 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: de Broca | Statement: [Philippe de Broca, familyName, de Broca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Broca
Context triple: [Philippe de Broca, familyName, de Broca]
  • A. de Broca chosen
    De Broca is the surname of Philippe de Broca, a notable French film director known for his lively adventure comedies and romantic films.
  • B. Paul Broca
    Paul Broca was a 19th-century French physician, anatomist, and anthropologist best known for discovering the brain region responsible for speech production, now called Broca's area.
  • C. André Broca
    André Broca was a 19th-century French physician and anatomist known for his contributions to the study of the nervous system and pathology.
  • D. Carl Wernicke
    Carl Wernicke was a German neurologist and psychiatrist best known for identifying the brain region responsible for language comprehension and describing Wernicke’s aphasia.
  • E. Philippe de Broca
    Philippe de Broca was a French film director best known for his witty, adventurous comedies and collaborations with stars like Jean-Paul Belmondo during the 1960s and 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87f50e88190940e73af1deda747 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c3b1af48190bb03af15232c510d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.