Triple

T20517275
Position Surface form Disambiguated ID Type / Status
Subject Out of the Furnace E503712 entity
Predicate producer P490 FINISHED
Object Michael Costigan NE NERFINISHED

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 Costigan | Statement: [Out of the Furnace, producer, Michael Costigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Costigan
Context triple: [Out of the Furnace, producer, Michael Costigan]
  • A. Michael Costigan chosen
    Michael Costigan is a film and television producer known for his work on various high-profile projects, including serving as an executive producer on the miniseries "A Teacher."
  • B. Michael McCusker
    Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
  • C. Michael Cooney
    Michael Cooney is a British screenwriter and playwright best known for writing psychological thrillers such as "Identity" and the horror-comedy "Jack Frost."
  • D. Michael Fitzgerald
    Michael Fitzgerald is a film producer known for his work on acclaimed independent and art-house movies, including collaborations with prominent directors like Tommy Lee Jones.
  • E. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.