Triple

T17564907
Position Surface form Disambiguated ID Type / Status
Subject Hidalgo E427785 entity
Predicate screenwriter P2831 FINISHED
Object John Fusco 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: John Fusco | Statement: [Hidalgo, screenwriter, John Fusco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Fusco
Context triple: [Hidalgo, screenwriter, John Fusco]
  • A. John Fusco chosen
    John Fusco is an American screenwriter and producer best known for writing Western-themed films such as "Young Guns" and creating the Netflix series "Marco Polo."
  • B. John Ferolito
    John Ferolito is an American entrepreneur best known as a co-founder of the Arizona Iced Tea beverage brand.
  • C. John DiFronzo
    John DiFronzo was an American mobster who rose to become a powerful boss of the Chicago Outfit and a prominent figure in organized crime.
  • D. Joseph Ficalora
    Joseph Ficalora is a Brooklyn-based curator and community organizer best known for creating the Bushwick Collective, a prominent open-air street art gallery in New York City.
  • E. Richard Ruccolo
    Richard Ruccolo is an American actor best known for his role as Pete Dunville on the sitcom "Two Guys, a Girl and a Pizza Place."
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592ce42c8190a54a0a328c5e8ffc completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.