Triple

T16759832
Position Surface form Disambiguated ID Type / Status
Subject Gonzalo Fernández de Córdoba E407310 entity
Predicate givenName P17 FINISHED
Object Gonzalo E109170 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: Gonzalo | Statement: [Gonzalo Fernández de Córdoba, givenName, Gonzalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonzalo
Context triple: [Gonzalo Fernández de Córdoba, givenName, Gonzalo]
  • A. Gonzalo chosen
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • B. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • C. Basilio
    Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
  • D. Basilio
    Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abeb3ab08190918f6bff686858be completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52b17b88190af24c04d16980c9f completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.