Triple

T14520901
Position Surface form Disambiguated ID Type / Status
Subject Haynes E340647 entity
Predicate hasNotableBearer P458 FINISHED
Object Todd Haynes E68112 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: Todd Haynes | Statement: [Haynes, hasNotableBearer, Todd Haynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Haynes
Context triple: [Haynes, hasNotableBearer, Todd Haynes]
  • A. Todd Haynes chosen
    Todd Haynes is an American film director and screenwriter known for his innovative, genre-challenging works such as "Far from Heaven," "Carol," and "Safe," often exploring themes of identity, sexuality, and social norms.
  • B. Todd Field
    Todd Field is an American filmmaker, screenwriter, and former actor best known for directing critically acclaimed films such as "In the Bedroom," "Little Children," and "Tár."
  • C. 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."
  • D. Tate Taylor
    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."
  • E. Taylor Hackford
    Taylor Hackford is an American film director and producer known for works such as "An Officer and a Gentleman" and "Ray."
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94aa39c08190a265f7e23a2c1f0e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:22 a.m.