Triple

T13664341
Position Surface form Disambiguated ID Type / Status
Subject El Matador E327077 entity
Predicate refersTo P37 FINISHED
Object Luis Hernández E64913 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: Luis Hernández | Statement: [El Matador, refersTo, Luis Hernández]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Hernández
Context triple: [El Matador, refersTo, Luis Hernández]
  • A. Luis Hernández chosen
    Luis Hernández is a retired Mexican striker renowned for his prolific goal-scoring for the Mexico national team and clubs in Mexico and abroad, including a notable stint in Major League Soccer.
  • 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. Ernesto Galarza
    Ernesto Galarza was a prominent Mexican-American labor organizer, scholar, and civil rights activist known for his pioneering work on farmworkers’ rights and education reform in the United States.
  • D. Héctor Vivanco
    Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
  • 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 (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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 9:52 p.m.