Triple

T18600866
Position Surface form Disambiguated ID Type / Status
Subject Richard Leacock E454615 entity
Predicate name P16 FINISHED
Object Richard Leacock NE NERFINISHED

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: Richard Leacock | Statement: [Richard Leacock, name, Richard Leacock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Leacock
Context triple: [Richard Leacock, name, Richard Leacock]
  • A. Richard Leacock chosen
    Richard Leacock was a pioneering British-born documentary filmmaker and key figure in the development of cinéma vérité and direct cinema.
  • B. Philip Bruns
    Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
  • C. Michael Hoyt
    Michael Hoyt is an individual notable enough to be recognized as a prominent bearer of the Hoyt surname.
  • D. Philip Brownstein
    Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
  • E. Michael Krupat
    Michael Krupat is a television producer best known for creating the popular Food Network cooking competition series "Chopped."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5475112608190acacc5ac7a08c4a0 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.