Triple

T8486340
Position Surface form Disambiguated ID Type / Status
Subject A Most Violent Year E200840 entity
Predicate editedBy P1954 FINISHED
Object Ron Patane E145659 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: Ron Patane | Statement: [A Most Violent Year, editedBy, Ron Patane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Patane
Context triple: [A Most Violent Year, editedBy, Ron Patane]
  • A. Ron Patane chosen
    Ron Patane is a film editor known for his work on major feature films, including the action thriller "Triple Frontier."
  • B. Pat Dapuzzo
    Pat Dapuzzo is a former National Hockey League linesman known for officiating numerous NHL games and several high-profile events during his career.
  • C. Fred Tatasciore
    Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
  • D. Joe Pasquale
    Joe Pasquale is a British comedian and television personality known for his high-pitched voice, stand-up comedy, and appearances on various UK entertainment shows.
  • E. Marty Pasetta
    Marty Pasetta was an American television producer and director best known for staging large-scale live broadcasts and variety specials, including high-profile music and awards shows.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51316b748190bfadf5d898978f55 completed April 3, 2026, 5:33 a.m.
Created at: March 30, 2026, 6:13 p.m.