Triple

T10667134
Position Surface form Disambiguated ID Type / Status
Subject José Nápoles E251384 entity
Predicate name P16 FINISHED
Object José Ángel Nápoles E251384 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: José Ángel Nápoles | Statement: [José Nápoles, name, José Ángel Nápoles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Ángel Nápoles
Context triple: [José Nápoles, name, José Ángel Nápoles]
  • A. José Nápoles chosen
    José Nápoles was a Cuban-Mexican professional boxer widely regarded as one of the greatest welterweights in history, known for his exceptional skill, smooth style, and multiple world championship reigns.
  • B. José Ángel Narváez
    José Ángel Narváez is a Spanish academic who serves as the rector and chief executive of the University of Málaga.
  • C. Miguel Ordóñez
    Miguel Ordóñez is an illustrator known for his playful, minimalist artwork in children’s books and other visual storytelling projects.
  • D. Jorge Portillo
    Jorge Portillo is an individual notable enough to be recognized as a prominent bearer of the surname Portillo.
  • E. Eliseo González
    Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f3204bac8190b9bd8bfcc705b06b completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6847ad9fc819085b0d6c886488c3b completed April 20, 2026, 7:54 p.m.
Created at: April 8, 2026, 9:08 p.m.