Triple

T10324063
Position Surface form Disambiguated ID Type / Status
Subject Angel Torres E242713 entity
Predicate portrayedBy P1507 FINISHED
Object Brandon Perea E260971 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: Brandon Perea | Statement: [Angel Torres, portrayedBy, Brandon Perea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandon Perea
Context triple: [Angel Torres, portrayedBy, Brandon Perea]
  • A. Brandon Perea chosen
    Brandon Perea is an American actor best known for his breakout role as tech-savvy salesman Angel Torres in Jordan Peele’s sci-fi horror film "Nope."
  • B. Jay Perez
    Jay Perez is an American Tejano singer known for his smooth vocal style and successful solo career that helped modernize and popularize the genre.
  • C. Jesse Valenzuela
    Jesse Valenzuela is an American musician and songwriter best known as a founding guitarist and vocalist for the alternative rock band Gin Blossoms.
  • D. Brandon Larracuente
    Brandon Larracuente is an American actor known for his television roles, including a part in the medical drama series "The Good Doctor."
  • E. Chris Espinosa
    Chris Espinosa is a longtime Apple engineer and one of the company’s earliest employees, known for his significant contributions to the original Macintosh and subsequent Apple software projects.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d979d64a5481909be6d6bd1d8b6433 completed April 10, 2026, 10:29 p.m.
Created at: April 6, 2026, 11:51 a.m.