Triple

T3474898
Position Surface form Disambiguated ID Type / Status
Subject Machete Kills E73347 entity
Predicate stars P1956 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: [Machete Kills, stars, Antonio Banderas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Banderas
Context triple: [Machete Kills, stars, 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. 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. Nestor Carbonell
    Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
  • D. Rafael Bardem
    Rafael Bardem was a Spanish film and stage actor active in the mid-20th century and a member of the prominent Bardem acting family.
  • E. Demián Bichir
    Demián Bichir is a Mexican actor acclaimed for his work in both Hollywood and Latin American cinema, including an Academy Award–nominated performance in "A Better Life."
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb580d4c819080bcc0bccd1e18e2 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b2058081908558bdea4043b051 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.