Triple

T9117233
Position Surface form Disambiguated ID Type / Status
Subject Pretty Woman E218750 entity
Predicate starring P1507 FINISHED
Object Hector Elizondo E348527 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: Hector Elizondo | Statement: [Pretty Woman, starring, Hector Elizondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hector Elizondo
Context triple: [Pretty Woman, starring, Hector Elizondo]
  • A. Hector Elizondo chosen
    Hector Elizondo is an American character actor known for his versatile roles in film and television, including frequent collaborations with director Garry Marshall in movies like "Pretty Woman" and "The Princess Diaries."
  • B. Emilio Garza
    Emilio Garza was a United States federal judge who served on the U.S. Court of Appeals for the Fifth Circuit and was at one point considered a potential nominee to the Supreme Court.
  • C. Joe Garza
    Joe Garza is a relatively obscure individual whose name is shared with several people, including professionals in fields such as law, politics, and the arts.
  • D. Eduardo Molina
    Eduardo Molina is a Mexico City Metro station on Line 5 serving the northeastern area of the city.
  • E. Kirk Acevedo
    Kirk Acevedo is an American actor known for his roles in television series such as "Oz" and "Fringe," as well as in films including "Dawn of the Planet of the Apes."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a5e2ac8190b602ef0c77deb2fa completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b194f6e48190ae7e9afa4e2cc912 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:17 p.m.