Triple

T22974027
Position Surface form Disambiguated ID Type / Status
Subject Storks E571263 entity
Predicate voiceCast P18510 FINISHED
Object Danny Trejo 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: Danny Trejo | Statement: [Storks, voiceCast, Danny Trejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Trejo
Context triple: [Storks, voiceCast, Danny Trejo]
  • A. Danny Trejo chosen
    Danny Trejo is an American character actor known for his tough-guy roles in action and crime films, often portraying hardened criminals or antiheroes.
  • B. Gilbert Trejo
    Gilbert Trejo is an American filmmaker and actor, known as the son of character actor Danny Trejo and for directing and appearing in independent film projects.
  • C. Paul Trejo
    Paul Trejo is a film editor known for his work on the 1994 romantic drama film "Jason's Lyric."
  • D. Pedro de Montoya
    Pedro de Montoya was a Spanish Franciscan missionary and linguist known for his influential early 17th-century Guaraní grammar and dictionary in colonial Paraguay.
  • E. Antonio Negret
    Antonio Negret is a Colombian film and television director known for action-driven projects such as the feature film "Overdrive" and episodes of popular TV series.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.