Triple

T22430250
Position Surface form Disambiguated ID Type / Status
Subject Goya Award for Best Supporting Actor E554477 entity
Predicate hasNominatedPerformer P148150 FINISHED
Object Javier Cámara 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: Javier Cámara | Statement: [Goya Award for Best Supporting Actor, hasNominatedPerformer, Javier Cámara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Cámara
Context triple: [Goya Award for Best Supporting Actor, hasNominatedPerformer, Javier Cámara]
  • A. Javier Cámara chosen
    Javier Cámara is a Spanish actor known for his acclaimed performances in both film and television, including prominent roles in Pedro Almodóvar’s movies.
  • B. Miguel Ángel Ramírez
    Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
  • C. Raul Daza
    Raul Daza is a Filipino lawyer and veteran politician known for his long-standing service as a congressman and leader within the Liberal Party of the Philippines.
  • D. Greg Garcia
    Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
  • E. Daniel Padilla
    Daniel Padilla is a popular Filipino actor and recording artist known for his leading roles in television dramas and films, as well as his successful music career.
  • 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.