Triple

T14657743
Position Surface form Disambiguated ID Type / Status
Subject José Antonio Domínguez Bandera E344152 entity
Predicate familyName P18 FINISHED
Object Domínguez E344152 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: Domínguez | Statement: [José Antonio Domínguez Bandera, familyName, Domínguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domínguez
Context triple: [José Antonio Domínguez Bandera, familyName, Domínguez]
  • A. Domínguez chosen
    Domínguez is a Spanish surname notably borne by the actor Antonio Banderas, whose full birth name is José Antonio Domínguez Bandera.
  • B. González
    González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
  • C. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • D. Duarte
    Duarte is a suburban city in Los Angeles County, California, located in the San Gabriel Valley along the foothills of the San Gabriel Mountains.
  • E. Godínez
    Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde175db5881908f88d2b3fd72bb52 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.