Triple

T22517139
Position Surface form Disambiguated ID Type / Status
Subject Cervecería Cuauhtémoc Moctezuma E556677 entity
Predicate foundedBy P104 FINISHED
Object Isaac Garza 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: Isaac Garza | Statement: [Cervecería Cuauhtémoc Moctezuma, foundedBy, Isaac Garza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isaac Garza
Context triple: [Cervecería Cuauhtémoc Moctezuma, foundedBy, Isaac Garza]
  • A. Isaac Garza chosen
    Isaac Garza was a Mexican businessman and industrialist best known as a founding figure behind the conglomerate that evolved into FEMSA, one of Latin America’s largest beverage and retail companies.
  • B. Xavier Garza
    Xavier Garza is a Mexican American author and illustrator known for his bilingual children’s books and stories that draw on Chicano culture, folklore, and everyday life in South Texas.
  • C. Tony Garza
    Tony Garza is an American attorney and former U.S. Ambassador to Mexico known for his work in diplomacy and U.S.–Mexico relations.
  • D. Jaime Garza
    Jaime Garza is a Mexican actor best known for his work in telenovelas and films during the late 20th century.
  • E. Joseph Valdez
    Joseph Valdez is known as the husband of American actress and television host Ann Robinson.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2df59c81909c4ae2f20f1cbb32 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.