Triple

T8766369
Position Surface form Disambiguated ID Type / Status
Subject Phone Booth E208348 entity
Predicate starring P1507 FINISHED
Object Kiefer Sutherland E367921 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: Kiefer Sutherland | Statement: [Phone Booth, starring, Kiefer Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiefer Sutherland
Context triple: [Phone Booth, starring, Kiefer Sutherland]
  • A. Kiefer Sutherland chosen
    Kiefer Sutherland is a Canadian actor and producer best known for his Emmy-winning role as counterterrorism agent Jack Bauer in the television series "24."
  • B. David Harewood
    David Harewood is a British actor known for his work in television series such as "Homeland" and "Supergirl" as well as numerous film and stage roles.
  • C. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • D. David Naughton
    David Naughton is an American actor and singer best known for his lead role in the horror-comedy film "An American Werewolf in London" and for his work in 1970s and 1980s film and television.
  • E. David Craig
    David Craig was the husband of American actress, comedian, and director Nancy Walker.
  • 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.