Triple

T5453827
Position Surface form Disambiguated ID Type / Status
Subject The Taking of Pelham One Two Three E122429 entity
Predicate portrayedBy P1507 FINISHED
Object James Broderick E252223 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: James Broderick | Statement: [The Taking of Pelham One Two Three, portrayedBy, James Broderick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Broderick
Context triple: [The Taking of Pelham One Two Three, portrayedBy, James Broderick]
  • A. James Broderick chosen
    James Broderick was an American actor known for his work in film, television, and theater, including notable roles in productions such as the crime drama "Dog Day Afternoon."
  • B. Brett Cullen
    Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
  • C. John Ehle
    John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
  • D. Joshua Malina
    Joshua Malina is an American actor best known for his roles in Aaron Sorkin–created television series such as "The West Wing" and "Scandal."
  • E. Thomas Jane
    Thomas Jane is an American actor best known for his roles in films such as "The Punisher," "Deep Blue Sea," and "Boogie Nights," as well as the TV series "The Expanse."
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91e170f48190b47419b5e2ff71a4 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c63cb6481908ea46a836a3804fe completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:08 p.m.