Triple

T17793611
Position Surface form Disambiguated ID Type / Status
Subject Mac Peralta E444230 entity
Predicate relative P37 FINISHED
Object Rosa Diaz 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: Rosa Diaz | Statement: [Mac Peralta, relative, Rosa Diaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosa Diaz
Context triple: [Mac Peralta, relative, Rosa Diaz]
  • A. Rosa Diaz chosen
    Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
  • B. Nora Dominguez
    Nora Dominguez is one of the spoiled, wealthy Latina sisters whose sudden loss of fortune forces her to adapt to a humbler life in the romantic comedy film "From Prada to Nada."
  • C. Carmen Vasquez
    Carmen Vasquez is a supporting character in the 2000 crime-action film "Shaft," involved in the investigation led by detective John Shaft.
  • D. Carmen Reyes
    Carmen Reyes is a recurring character on the television series "Lost," known as Hugo "Hurley" Reyes's caring but often skeptical mother.
  • E. Delia Ramirez
    Delia Ramirez is an American politician and community organizer from Illinois who serves as a Democratic member of the U.S. House of Representatives.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487993a6c8190805e06d93dfc0dce completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:13 a.m.