Triple

T18438620
Position Surface form Disambiguated ID Type / Status
Subject Jorge Gutiérrez E450462 entity
Predicate name P16 FINISHED
Object Jorge Gutiérrez 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: Jorge Gutiérrez | Statement: [Jorge Gutiérrez, name, Jorge Gutiérrez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge Gutiérrez
Context triple: [Jorge Gutiérrez, name, Jorge Gutiérrez]
  • A. Jorge Gutiérrez chosen
    Jorge Gutiérrez is a Mexican professional basketball player and former standout guard for the University of California, Berkeley, who went on to play in the NBA and internationally.
  • B. Jorge Huerta
    Jorge Huerta is a prominent Chicano theater scholar, director, and educator known for his pioneering work in documenting and advancing Latino/a performance in the United States.
  • C. José Ángel Gutiérrez
    José Ángel Gutiérrez is a prominent Chicano lawyer, educator, and activist who played a key leadership role in the Chicano civil rights movement and co-founded the La Raza Unida Party.
  • D. Roberto Álamo
    Roberto Álamo is a Spanish actor known for his work in film, television, and theater, including prominent roles in acclaimed Spanish cinema.
  • E. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.