Triple

T22274396
Position Surface form Disambiguated ID Type / Status
Subject Assassins E550563 entity
Predicate editor P1954 FINISHED
Object Frank J. Urioste 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: Frank J. Urioste | Statement: [Assassins, editor, Frank J. Urioste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank J. Urioste
Context triple: [Assassins, editor, Frank J. Urioste]
  • A. Frank J. Urioste chosen
    Frank J. Urioste is an American film editor known for his work on major action and genre films, including blockbusters like Die Hard, RoboCop, and Total Recall.
  • B. George A. Mendoza
    George A. Mendoza is a film producer best known for his work on Disney’s animated feature "The Lion King 1½."
  • C. Frank E. Jimenez
    Frank E. Jimenez is an editor known for his work on the film "They Live."
  • D. Juan N. Álvarez
    Juan N. Álvarez was a 19th-century Mexican liberal general and politician who briefly served as President of Mexico and played a key role in the country's Reform era.
  • E. Harold R. Medina
    Harold R. Medina was a prominent American federal judge best known for presiding over major mid-20th-century trials and for his influential role in shaping U.S. jurisprudence.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.