Triple

T20060595
Position Surface form Disambiguated ID Type / Status
Subject Dominic Toretto's crew E499461 entity
Predicate member P10 FINISHED
Object Letty Ortiz 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: Letty Ortiz | Statement: [Dominic Toretto's crew, member, Letty Ortiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letty Ortiz
Context triple: [Dominic Toretto's crew, member, Letty Ortiz]
  • A. Letty Ortiz chosen
    Letty Ortiz is a skilled street racer, mechanic, and key member of Dominic Toretto’s crew in the Fast & Furious film franchise.
  • B. Letty Aronson
    Letty Aronson is an American film producer best known for her long-running collaboration with director Woody Allen on numerous critically acclaimed movies.
  • C. Angel Cruz
    Angel Cruz is a central character in Stephen Adly Guirgis’s play "Jesus Hopped the 'A' Train," a young inmate grappling with guilt, faith, and moral responsibility while awaiting trial on Rikers Island.
  • D. Rachel Juarez
    Rachel Juarez is a television court show judge best known for serving on the panel of the syndicated legal series "Hot Bench."
  • E. Rosa Diaz
    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."
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.