Triple

T1016945
Position Surface form Disambiguated ID Type / Status
Subject BAFTA Award for Best Direction E21951 entity
Predicate notableWinner P2766 FINISHED
Object Kathryn Bigelow E54556 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: Kathryn Bigelow | Statement: [BAFTA Award for Best Direction, notableWinner, Kathryn Bigelow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathryn Bigelow
Context triple: [BAFTA Award for Best Direction, notableWinner, Kathryn Bigelow]
  • A. Kathryn Bigelow chosen
    Kathryn Bigelow is an American film director and producer best known for her gritty, suspenseful dramas such as "The Hurt Locker" and "Zero Dark Thirty."
  • B. Sandy Powell
    Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
  • C. Gale Anne Hurd
    Gale Anne Hurd is an American film and television producer best known for her influential work on science fiction and action franchises such as The Terminator and Aliens.
  • D. Kathleen Kennedy
    Kathleen Kennedy is a prominent American film producer and president of Lucasfilm, known for overseeing the Star Wars franchise and numerous other blockbuster films.
  • E. Ellen Kuras
    Ellen Kuras is an acclaimed American cinematographer known for her innovative visual style on films such as "Eternal Sunshine of the Spotless Mind" and numerous documentaries.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c4d488819081d8214ba0a22fe5 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb1b0bc819095af3b50bfebca1e completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.