Triple

T7355113
Position Surface form Disambiguated ID Type / Status
Subject Passenger 57 E169602 entity
Predicate cinematography P1953 FINISHED
Object Mark Irwin E375228 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: Mark Irwin | Statement: [Passenger 57, cinematography, Mark Irwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Irwin
Context triple: [Passenger 57, cinematography, Mark Irwin]
  • A. Mark Irwin chosen
    Mark Irwin is a Canadian cinematographer known for his work on numerous feature films, including collaborations with directors like David Cronenberg and on popular comedies such as "Old School."
  • B. Tom Irwin
    Tom Irwin is an American actor known for his work in television, film, and theater, including prominent roles in series like "My So-Called Life" and "The Morning Show."
  • C. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • D. John Irwin
    John Irwin is a television producer best known for his work as an executive producer on major late-night talk shows, including The Jay Leno Show.
  • E. Kevin Atwater
    Kevin Atwater is a dedicated and resourceful intelligence officer on the TV series "Chicago P.D.," known for his strong moral compass and deep loyalty to his team and community.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.