Triple

T8664490
Position Surface form Disambiguated ID Type / Status
Subject Elena Anaya E205630 entity
Predicate workedWith P398 FINISHED
Object Antonio Banderas E68992 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: Antonio Banderas | Statement: [Elena Anaya, workedWith, Antonio Banderas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Banderas
Context triple: [Elena Anaya, workedWith, Antonio Banderas]
  • A. Antonio Banderas chosen
    Antonio Banderas is a Spanish actor and filmmaker known for his charismatic performances in films such as "The Mask of Zorro," "Desperado," and numerous collaborations with director Pedro Almodóvar.
  • B. Antonio Negret
    Antonio Negret is a Colombian film and television director known for action-driven projects such as the feature film "Overdrive" and episodes of popular TV series.
  • C. Miguel Ángel Ramírez
    Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
  • D. Javier Cámara
    Javier Cámara is a Spanish actor known for his acclaimed performances in both film and television, including prominent roles in Pedro Almodóvar’s movies.
  • E. Eugenio Derbez
    Eugenio Derbez is a Mexican actor, comedian, and filmmaker known for his work in both Spanish- and English-language film and television, including prominent roles in international hits.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a0ae108190b33dadcc3cb18949 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0d95ec81908669ee35f0987be7 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.