Triple

T7038546
Position Surface form Disambiguated ID Type / Status
Subject José Ferrer E163447 entity
Predicate name P16 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: [José Ferrer, name, José Ferrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Ferrer
Context triple: [José Ferrer, name, 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e223077c819097992089fa83c563 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78863c2fc8190b9b54613968742e1 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:36 p.m.