Triple

T13849562
Position Surface form Disambiguated ID Type / Status
Subject Miguel Ferrer E332897 entity
Predicate parent P120 FINISHED
Object José Ferrer E163447 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: José Ferrer | Statement: [Miguel Ferrer, parent, José Ferrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Ferrer
Context triple: [Miguel Ferrer, parent, José Ferrer]
  • A. José Ferrer chosen
    José Ferrer was a Puerto Rican-born actor and director renowned for his Oscar-winning performance in "Cyrano de Bergerac" and his distinguished career on stage and screen.
  • B. Mel Ferrer
    Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
  • C. Edmond O'Brien
    Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
  • D. Burt Lancaster
    Burt Lancaster was an acclaimed American film actor and producer known for his athletic presence and powerful performances in classics such as "From Here to Eternity" and "Elmer Gantry."
  • E. Adolphe Menjou
    Adolphe Menjou was an American actor known for his suave, debonair screen persona and prominent roles in early Hollywood films, including both silent and sound-era classics.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70816e48190949b16ae6e744d22 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.