Triple

T20517607
Position Surface form Disambiguated ID Type / Status
Subject Mr. Woodcock E503720 entity
Predicate director P255 FINISHED
Object Craig Gillespie 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: Craig Gillespie | Statement: [Mr. Woodcock, director, Craig Gillespie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Gillespie
Context triple: [Mr. Woodcock, director, Craig Gillespie]
  • A. Craig Gillespie chosen
    Craig Gillespie is an Australian-American film director known for character-driven comedies and dramas such as "Lars and the Real Girl" and the biographical film "I, Tonya."
  • B. David O. Russell
    David O. Russell is an American filmmaker known for his offbeat, character-driven dramas and dark comedies such as The Fighter, American Hustle, and Three Kings.
  • C. Bennett Miller
    Bennett Miller is an American film director known for his critically acclaimed, character-driven dramas such as "Capote," "Moneyball," and "Foxcatcher."
  • D. Damien Chazelle
    Damien Chazelle is an American filmmaker and screenwriter known for his stylish, music-driven dramas such as "Whiplash" and the Oscar-winning "La La Land."
  • E. Des McAnuff
    Des McAnuff is a Tony Award–winning Canadian-American director and producer best known for his work on major Broadway musicals such as "Jersey Boys" and "Big River."
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.