Triple

T8766422
Position Surface form Disambiguated ID Type / Status
Subject Thank You for Smoking E208349 entity
Predicate castMember P1668 FINISHED
Object J. K. Simmons E47001 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: J. K. Simmons | Statement: [Thank You for Smoking, castMember, J. K. Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. K. Simmons
Context triple: [Thank You for Smoking, castMember, J. K. Simmons]
  • A. J.K. Simmons chosen
    J.K. Simmons is an American character actor known for his versatile performances in film and television, including roles in "Whiplash," the "Spider-Man" trilogy, and numerous acclaimed supporting parts.
  • B. Eric Adkins
    Eric Adkins is a cinematographer best known for his work on the visually distinctive film "Sky Captain and the World of Tomorrow."
  • C. Michael Cerveris
    Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
  • D. Clarke Peters
    Clarke Peters is an American actor, writer, and director best known for his roles in acclaimed television series such as The Wire and Treme, as well as numerous film and stage performances.
  • E. Gil Bellows
    Gil Bellows is a Canadian actor best known for his roles in films like The Shawshank Redemption and the television series Ally McBeal.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee97fd0819087ef8fe14b37ae43 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf519f029081908ad0ae79f35b3e9d completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.