Triple

T2854286
Position Surface form Disambiguated ID Type / Status
Subject Batman Returns E63163 entity
Predicate producer P490 FINISHED
Object Larry Franco E227851 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: Larry Franco | Statement: [Batman Returns, producer, Larry Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Franco
Context triple: [Batman Returns, producer, Larry Franco]
  • A. Larry Franco chosen
    Larry Franco is an American film producer known for his work on major Hollywood movies, including action, science fiction, and comic book adaptations.
  • B. Joe G. Garcia
    Joe G. Garcia is the individual whose challenge to the application of federal wage and hour laws to state employees led to the landmark U.S. Supreme Court case Garcia v. San Antonio Metropolitan Transit Authority.
  • C. Eduardo Cansino
    Eduardo Cansino was a Spanish-born dancer and choreographer best known as the father and early dance partner of Hollywood star Rita Hayworth.
  • D. Joe Espada
    Joe Espada is a Puerto Rican professional baseball coach and former infielder who serves as the manager of the Houston Astros in Major League Baseball.
  • E. Antonio Fargas
    Antonio Fargas is an American character actor best known for his flamboyant and comedic roles in 1970s blaxploitation films and the TV series "Starsky & Hutch."
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.