Triple

T3286438
Position Surface form Disambiguated ID Type / Status
Subject Antonio Banderas E68992 entity
Predicate givenName P17 FINISHED
Object José Antonio E138899 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 Antonio | Statement: [Antonio Banderas, givenName, José Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Antonio
Context triple: [Antonio Banderas, givenName, José Antonio]
  • A. José Antonio chosen
    José Antonio is a common Spanish male given name widely used across Spain and Latin America, often associated with historical, political, and cultural figures.
  • B. Ruiz de Apodaca
    Ruiz de Apodaca is a Spanish surname most notably borne by Juan Ruiz de Apodaca, a high-ranking colonial administrator and viceroy of New Spain in the early 19th century.
  • C. José María
    José María is the given name of José María Morelos y Pavón, a key leader and hero of the Mexican War of Independence.
  • D. Juan Antonio
    Juan Antonio is a Spanish film director best known for works such as "The Orphanage," "The Impossible," and "A Monster Calls."
  • E. Juan Antonio
    Juan Antonio is a charismatic Spanish painter and romantic lead in the film "Vicky Cristina Barcelona," whose passionate relationships drive much of the movie’s drama.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c5ab7988190882df3b8198ad88a completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:10 p.m.