Triple

T11910361
Position Surface form Disambiguated ID Type / Status
Subject José Antonio Yorba E283376 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: [José Antonio Yorba, givenName, José Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Antonio
Context triple: [José Antonio Yorba, 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. José Justo
    José Justo was a Mexican politician who briefly served as president of Mexico during the early 1830s.
  • C. Julio Valveras
    Julio Valveras is a character in the musical "Paint Your Wagon," for whom the song "I Talk to the Trees" is performed.
  • D. José Antonio Galán
    José Antonio Galán was an 18th-century Colombian revolutionary who became a key popular leader in the struggle against Spanish colonial rule during the Comunero Revolt.
  • E. José Miguel
    José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b196bc8190a643f2b534497476 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:44 p.m.