Triple

T19560514
Position Surface form Disambiguated ID Type / Status
Subject Armando Benítez E489435 entity
Predicate familyName P18 FINISHED
Object Benítez 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: Benítez | Statement: [Armando Benítez, familyName, Benítez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benítez
Context triple: [Armando Benítez, familyName, Benítez]
  • A. Benítez chosen
    Benítez is a Spanish surname most prominently associated with football manager Rafael Benítez, known for his successful coaching career in European club football.
  • B. Cubillas
    Cubillas is a Spanish-language surname most notably borne by Peruvian football legend Teófilo Cubillas.
  • C. Estévez
    Estévez is the original Spanish family name of actor Martin Sheen, also shared by several of his children in the entertainment industry.
  • D. Ignacio Zanetti
    Ignacio Zanetti is one of the children of legendary Argentine footballer Javier Zanetti.
  • E. Bielsa
    Bielsa is a small mountain town in the Spanish Pyrenees, known as a gateway to the Ordesa y Monte Perdido National Park and for its traditional Aragonese culture.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f731ae48190ade295c15db7f8ed completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.