Triple

T909330
Position Surface form Disambiguated ID Type / Status
Subject Ozzie Guillén E19622 entity
Predicate familyName P18 FINISHED
Object Guillén E73878 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: Guillén | Statement: [Ozzie Guillén, familyName, Guillén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillén
Context triple: [Ozzie Guillén, familyName, Guillén]
  • A. Guillén chosen
    Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
  • B. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • C. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • E. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cee2848190b1f17e8817f092a1 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258152cc8190a24456aefd58f19c completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:39 p.m.