Triple

T13838968
Position Surface form Disambiguated ID Type / Status
Subject Vázquez E332600 entity
Predicate hasNotableBearer P458 FINISHED
Object Raúl Vázquez (multiple people) E62559 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: Raúl Vázquez (multiple people) | Statement: [Vázquez, hasNotableBearer, Raúl Vázquez (multiple people)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raúl Vázquez (multiple people)
Context triple: [Vázquez, hasNotableBearer, Raúl Vázquez (multiple people)]
  • A. Vázquez
    Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
  • B. Víctor Vázquez
    Víctor Vázquez is a Spanish attacking midfielder known for his playmaking ability and key contributions to Toronto FC, including scoring in the 2017 MLS Cup final.
  • C. Raúl chosen
    Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Núñez Vela
    Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
  • E. Juan Lazcano
    Juan Lazcano is a Mexican-American professional boxer best known as a former lightweight title challenger who fought several top contenders in the 1990s and 2000s.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.