Triple

T22430245
Position Surface form Disambiguated ID Type / Status
Subject Goya Award for Best Supporting Actor E554477 entity
Predicate hasWinner P6361 FINISHED
Object Juan Diego Botto 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: Juan Diego Botto | Statement: [Goya Award for Best Supporting Actor, hasWinner, Juan Diego Botto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Diego Botto
Context triple: [Goya Award for Best Supporting Actor, hasWinner, Juan Diego Botto]
  • A. Juan Diego Botto chosen
    Juan Diego Botto is an Argentine-Spanish actor known for his work in film, television, and theater, including prominent roles in international TV dramas.
  • B. Diego Serna
    Diego Serna is a Colombian former professional footballer best known as a prolific goal-scoring forward in Major League Soccer, particularly during his time with the Miami Fusion.
  • C. Diego Fagúndez
    Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
  • D. Diego Funes
    Diego Funes is known as the son of Mauricio Funes, the former president of El Salvador.
  • E. Gonzalo Vivanco
    Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a311b148190bdb752f3f067bb3f completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.