Triple

T15646136
Position Surface form Disambiguated ID Type / Status
Subject Fernando Garibay E376181 entity
Predicate name P16 FINISHED
Object Fernando Garibay 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: Fernando Garibay | Statement: [Fernando Garibay, name, Fernando Garibay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Garibay
Context triple: [Fernando Garibay, name, Fernando Garibay]
  • A. Fernando Garibay chosen
    Fernando Garibay is a Grammy-nominated American record producer and songwriter best known for his work with major pop artists such as Lady Gaga.
  • B. Gerardo Chávez
    Gerardo Chávez is a Peruvian painter recognized for his surrealist-inspired works and significant contributions to contemporary Latin American art.
  • C. Eugenio Garza Sada
    Eugenio Garza Sada was a prominent Mexican industrialist and philanthropist who played a key role in modernizing Mexico’s business sector and advancing private higher education.
  • D. José Ángel de Álamo
    José Ángel de Álamo was a Venezuelan statesman and independence leader who participated in the early 19th-century struggle to free Venezuela from Spanish colonial rule.
  • E. Francisco Jareño
    Francisco Jareño was a 19th-century Spanish architect noted for his prominent public works in Madrid, including major contributions to the design of the Biblioteca Nacional de España.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
Created at: April 10, 2026, 4:15 a.m.