Triple

T13439458
Position Surface form Disambiguated ID Type / Status
Subject Juan Negrín E320318 entity
Predicate familyName P18 FINISHED
Object Negrín E320318 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: Negrín | Statement: [Juan Negrín, familyName, Negrín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Negrín
Context triple: [Juan Negrín, familyName, Negrín]
  • A. Negrín chosen
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • B. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • C. Giménez
    Giménez is a Spanish-language surname commonly found in Spain and Latin American countries, borne by various notable figures in sports, arts, and public life.
  • D. Almenar
    Almenar is a municipality in the comarca of Segrià in the province of Lleida, Catalonia, Spain.
  • E. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74621474c8190b96a8f8561451bed completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:40 p.m.