Triple

T18888029
Position Surface form Disambiguated ID Type / Status
Subject Sanchez E462008 entity
Predicate hasVariant P455 FINISHED
Object Sánchez 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 | Statement: [Sanchez, hasVariant, Sánchez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sánchez
Context triple: [Sanchez, hasVariant, Sánchez]
  • A. Sánchez chosen
    Sánchez is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and other fields.
  • B. Sánchez Vilella
    Sánchez Vilella is the compound Spanish surname most notably associated with Roberto Sánchez Vilella, a former governor of Puerto Rico.
  • C. Albert Rivera
    Albert Rivera is a Spanish lawyer and politician best known as the longtime leader of the liberal party Ciudadanos, which he headed during its national rise in the 2010s.
  • D. 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.
  • E. José María Jiménez Sastre
    José María Jiménez Sastre was a Spanish professional road cyclist, best known as a talented climber who rode for Banesto and won multiple mountain stages in the Vuelta a España during the late 1990s and early 2000s.
  • 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_69e5c4777434819098850da0ee1c6b43 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.