Triple

T22891011
Position Surface form Disambiguated ID Type / Status
Subject Knight and Day E568039 entity
Predicate producer P490 FINISHED
Object Todd Garner NE NERFINISHED

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 Garner | Statement: [Knight and Day, producer, Todd Garner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Garner
Context triple: [Knight and Day, producer, Todd Garner]
  • A. Todd Garner chosen
    Todd Garner is a Hollywood film and television producer known for his work on numerous mainstream comedies and dramas, including serving as an executive producer on the series "Dirty John."
  • B. David Cummings
    David Cummings is a British comedy writer best known for co-writing the film "Kevin & Perry Go Large" and his work on various UK television comedies.
  • C. Bill Cummings
    Bill Cummings is an American businessman and philanthropist known for his major charitable contributions to education and healthcare institutions.
  • D. Michael Kutcher
    Michael Kutcher is an American businessman and public speaker known for his advocacy work around cerebral palsy and organ donation, and as the twin brother of actor Ashton Kutcher.
  • E. Stephen Haise
    Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc59e108190a22f90c2439830fb completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.