Triple

T18881035
Position Surface form Disambiguated ID Type / Status
Subject Jose Miguel Arroyo E461826 entity
Predicate givenName P17 FINISHED
Object Jose Miguel NE NERFINISHED

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: Jose Miguel | Statement: [Jose Miguel Arroyo, givenName, Jose Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jose Miguel
Context triple: [Jose Miguel Arroyo, givenName, Jose Miguel]
  • A. José Miguel chosen
    José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
  • B. Miguel de Santiago
    Miguel de Santiago was a prominent 17th-century Baroque painter from colonial Quito, renowned for his religious artworks and as one of the leading figures of the Quito School of Art.
  • C. Juan Modesto
    Juan Modesto was a prominent Spanish Republican general during the Spanish Civil War, known for leading key offensives and commanding major army units.
  • D. Julio Alejandro
    Julio Alejandro was a Spanish-Mexican screenwriter best known for his collaborations with director Luis Buñuel on several landmark films of mid-20th-century cinema.
  • E. José Fernando
    José Fernando is the given name of José Fernando de Abascal, a Spanish military officer and colonial administrator who served as Viceroy of Peru in the early 19th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d133f08190a482e601c1866662 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.