Triple

T6281163
Position Surface form Disambiguated ID Type / Status
Subject Adolfo Suárez E140784 entity
Predicate familyName P18 FINISHED
Object Suárez E132920 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: Suárez | Statement: [Adolfo Suárez, familyName, Suárez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suárez
Context triple: [Adolfo Suárez, familyName, Suárez]
  • A. Estévez
    Estévez is the original Spanish family name of actor Martin Sheen, also shared by several of his children in the entertainment industry.
  • B. Benjamín Suárez
    Benjamín Suárez is the son of Uruguayan footballer Luis Suárez.
  • C. Luis Suárez chosen
    Luis Suárez is a prolific Uruguayan striker renowned for his goal-scoring exploits at clubs such as Ajax, Liverpool, and Barcelona, as well as for his controversial on-field incidents.
  • D. Rafael Núñez
    Rafael Núñez was a Colombian lawyer, politician, and four-time president best known for leading the Regeneration period and shaping the 1886 Constitution of Colombia.
  • E. Benítez
    Benítez is a Spanish surname most prominently associated with football manager Rafael Benítez, known for his successful coaching career in European club football.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dee62881908347283f16dcbe68 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51962132881909a2eccd1203e03c1 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.