Triple

T17813534
Position Surface form Disambiguated ID Type / Status
Subject José Enrique E444775 entity
Predicate familyName P18 FINISHED
Object Sánchez Díaz 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: Sánchez Díaz | Statement: [José Enrique, familyName, Sánchez Díaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sánchez Díaz
Context triple: [José Enrique, familyName, Sánchez Díaz]
  • A. Sánchez Solano Jiménez
    Sánchez Solano Jiménez is the Spanish family name of Saint Francis Solanus, a 16th–17th century Franciscan missionary and saint known for his work in South America.
  • B. Prieto Diaz
    Prieto Diaz is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its rural communities and proximity to the Pacific Ocean.
  • C. Sánchez chosen
    Sánchez is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and other fields.
  • D. Ruiz Castillo
    Ruiz Castillo is a Spanish surname most notably borne by alpine skier Carolina Ruiz Castillo.
  • E. José María López
    José María López is an Argentine professional racing driver best known for his multiple World Touring Car Championship titles and for competing in international endurance racing, including with Toyota.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887d6828819085face29cb03671b completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.