Triple

T13294738
Position Surface form Disambiguated ID Type / Status
Subject Frank J. Urioste E316651 entity
Predicate name P16 FINISHED
Object Frank J. Urioste E316651 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: Frank J. Urioste | Statement: [Frank J. Urioste, name, Frank J. Urioste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank J. Urioste
Context triple: [Frank J. Urioste, name, 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. 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.
  • D. 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.
  • E. Emilio N. Echevarria
    Emilio N. Echevarria was an individual of sufficient historical or military significance to merit interment at the Santa Fe National Cemetery in New Mexico.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99079c8508190b6208db9affcbc0e completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd46686c288190a51847f86785568a completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 9:28 p.m.