Triple

T8669653
Position Surface form Disambiguated ID Type / Status
Subject The Town E205762 entity
Predicate starring P1507 FINISHED
Object Chris Cooper E115509 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: Chris Cooper | Statement: [The Town, starring, Chris Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Cooper
Context triple: [The Town, starring, Chris Cooper]
  • A. Chris Cooper chosen
    Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
  • B. Tommy Lee Jones
    Tommy Lee Jones is an American actor and filmmaker known for his tough, stoic characters in films such as "The Fugitive," "No Country for Old Men," and "Men in Black."
  • C. Jeff Daniels
    Jeff Daniels is an American actor known for his versatile performances in film, television, and theater, with notable roles in works ranging from dramas like "The Newsroom" to comedies like "Dumb and Dumber."
  • D. Jack Warden
    Jack Warden was an American character actor known for his prolific film and television career, including notable roles in classics like "12 Angry Men," "Heaven Can Wait," and "Shampoo."
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6ed1e0548190b02d43c5d7e65e08 completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:31 p.m.