Triple

T6546313
Position Surface form Disambiguated ID Type / Status
Subject Haley Bennett E151015 entity
Predicate workedWith P398 FINISHED
Object Joe Wright E369909 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: Joe Wright | Statement: [Haley Bennett, workedWith, Joe Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Wright
Context triple: [Haley Bennett, workedWith, Joe Wright]
  • A. Joe Wright chosen
    Joe Wright is a British film director best known for acclaimed period dramas such as "Pride & Prejudice" and "Atonement."
  • B. Thomas Eyre
    Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
  • C. Sam Mendes
    Sam Mendes is an acclaimed British film and theatre director known for works such as "American Beauty," the James Bond films "Skyfall" and "Spectre," and the World War I epic "1917."
  • D. Oliver Parker
    Oliver Parker is a British filmmaker and screenwriter known for directing literary adaptations such as the 1995 film version of Shakespeare’s "Othello."
  • E. Tom Hooper
    Tom Hooper is an Academy Award–winning British film and television director best known for works such as "The King’s Speech" and "Les Misérables."
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf00aa48190a86a9ad4795363d9 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41f1eb8819086d0094015bdc1af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.