Triple

T6954409
Position Surface form Disambiguated ID Type / Status
Subject Crisis E161205 entity
Predicate composer P1361 FINISHED
Object John Paesano E443449 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: John Paesano | Statement: [Crisis, composer, John Paesano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Paesano
Context triple: [Crisis, composer, John Paesano]
  • A. John Paesano chosen
    John Paesano is an American composer best known for his film, television, and video game scores, including work on projects like Marvel adaptations and the Maze Runner series.
  • B. Joey Carbone
    Joey Carbone is an American music producer, songwriter, and arranger known for his work in pop and rock music, including extensive production and composition for Japanese artists and television.
  • C. Vincent Piazza
    Vincent Piazza is an American actor best known for his role as gangster Lucky Luciano on the HBO series "Boardwalk Empire."
  • D. Dan Pastorini
    Dan Pastorini is a former NFL quarterback best known for leading the Houston Oilers during their late-1970s "Luv Ya Blue" era.
  • E. Shawn Papazian
    Shawn Papazian is a film producer known for his work on independent and genre movies, including the action drama "Mercury Plains."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.