Triple

T16994587
Position Surface form Disambiguated ID Type / Status
Subject Ted Hope E412280 entity
Predicate collaboratedWith P435 FINISHED
Object Todd Field E364798 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 Field | Statement: [Ted Hope, collaboratedWith, Todd Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Field
Context triple: [Ted Hope, collaboratedWith, Todd Field]
  • A. Todd Field chosen
    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."
  • 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. Daniel LeRoy
    Daniel LeRoy was an American lawyer and politician who became the inaugural Attorney General of the state of Michigan in the 19th century.
  • D. 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."
  • E. Bill Condon
    Bill Condon is an American film director and screenwriter known for works such as "Gods and Monsters," "Dreamgirls," and Disney's live-action "Beauty and the Beast."
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d285f35881908c32b2f27ba7f0ac completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.