Triple

T17239073
Position Surface form Disambiguated ID Type / Status
Subject JFK (1991 film) E418439 entity
Predicate castMember P1668 FINISHED
Object Michael Rooker E205560 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: Michael Rooker | Statement: [JFK (1991 film), castMember, Michael Rooker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Rooker
Context triple: [JFK (1991 film), castMember, Michael Rooker]
  • A. Michael Rooker chosen
    Michael Rooker is an American actor best known for his roles as Yondu in the Marvel Cinematic Universe and Merle Dixon in the television series The Walking Dead.
  • B. Cliff Smith
    Cliff Smith is an actor known for his role in the film "The Breaks."
  • C. Brion James
    Brion James was an American character actor best known for his distinctive roles in science fiction and action films, including his memorable performance as the replicant Leon in "Blade Runner."
  • D. William Fichtner
    William Fichtner is an American character actor known for his intense, often villainous or morally complex roles in films such as "Heat," "Armageddon," and "Black Hawk Down," as well as the TV series "Prison Break."
  • E. Jon Hale
    Jon Hale is an English football executive best known for serving as chairman of Hereford FC.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfdc8688190aceb223c19a48781 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676596a48190ae17a411b86e613e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.