Triple

T5972268
Position Surface form Disambiguated ID Type / Status
Subject Tate Taylor E132900 entity
Predicate name P16 FINISHED
Object Tate Taylor E132900 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: Tate Taylor | Statement: [Tate Taylor, name, Tate Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate Taylor
Context triple: [Tate Taylor, name, Tate Taylor]
  • A. Tate Taylor chosen
    Tate Taylor is an American filmmaker and actor best known for directing films such as "The Help," "Get on Up," and the thriller "The Girl on the Train."
  • B. Oren Moverman
    Oren Moverman is an Israeli-American screenwriter and director known for his work on acclaimed films such as "I'm Not There," "The Messenger," and "Rampart."
  • C. Taylor Sheridan
    Taylor Sheridan is an American filmmaker and actor best known for writing gritty crime thrillers like Sicario and creating the hit television series Yellowstone.
  • D. J. C. Chandor
    J. C. Chandor is an American filmmaker known for writing and directing character-driven dramas and thrillers such as "Margin Call," "All Is Lost," and "A Most Violent Year."
  • E. Destin Daniel Cretton
    Destin Daniel Cretton is an American filmmaker known for directing character-driven dramas like "Short Term 12" and major studio projects such as Marvel's "Shang-Chi and the Legend of the Ten Rings."
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a00c3588190b335d7d3341b6d68 completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40fa2488190b82d604d51b73090 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:03 p.m.