Triple

T9906769
Position Surface form Disambiguated ID Type / Status
Subject Nacho Libre E185029 entity
Predicate castMember P1668 FINISHED
Object Héctor Jiménez E507885 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: Héctor Jiménez | Statement: [Nacho Libre, castMember, Héctor Jiménez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Héctor Jiménez
Context triple: [Nacho Libre, castMember, Héctor Jiménez]
  • A. Héctor Jiménez chosen
    Héctor Jiménez is a Mexican actor and comedian best known for his quirky supporting roles in films such as "Nacho Libre" and various genre and independent movies.
  • B. Sergio Valenzuela
    Sergio Valenzuela is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Valenzuela surname.
  • C. Guillermo Ramírez
    Guillermo Ramírez is a Guatemalan former professional footballer best known for scoring the extra-time winning goal in the 2005 MLS Cup final for the Los Angeles Galaxy.
  • D. Héctor Valenzuela
    Héctor Valenzuela is a notable individual who bears the surname Valenzuela, recognized for contributing to the name’s prominence.
  • E. Joaquín Martínez
    Joaquín Martínez was a Mexican actor known for his character roles in American Western films and television during the 1960s and 1970s.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50cf8808190a41e565216712704 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
Created at: March 30, 2026, 8:41 p.m.