Triple

T11039499
Position Surface form Disambiguated ID Type / Status
Subject Brandon Perea E260971 entity
Predicate playedCharacter P1507 FINISHED
Object Angel Torres E242713 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: Angel Torres | Statement: [Brandon Perea, playedCharacter, Angel Torres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Torres
Context triple: [Brandon Perea, playedCharacter, Angel Torres]
  • A. Angel Torres chosen
    Angel Torres is a central character in the 2022 science-fiction horror film "Nope," contributing to the story’s exploration of spectacle and the unknown.
  • B. Mercedes Torres
    Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
  • C. Sonia Rodriguez
    Sonia Rodriguez is a renowned Spanish-Canadian ballerina who became one of the National Ballet of Canada’s most celebrated principal dancers.
  • D. Miranda Torres
    Miranda Torres is a surname of likely Spanish origin shared by individuals such as William Miranda Torres, a Puerto Rican politician.
  • E. Mercedes Martinez
    Mercedes Martinez is the wife of American filmmaker Chris Weitz, known primarily for her connection to his work in the film industry.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797ff519481909ebc2515b3d241de completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.