Triple

T7237641
Position Surface form Disambiguated ID Type / Status
Subject Club Universidad Nacional E155270 entity
Predicate notableFormerPlayer P304 FINISHED
Object Luis García E583238 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: Luis García | Statement: [Club Universidad Nacional, notableFormerPlayer, Luis García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis García
Context triple: [Club Universidad Nacional, notableFormerPlayer, Luis García]
  • A. Luis García chosen
    Luis García is a common Spanish name shared by several notable figures, including professional footballers, a baseball player, and other public personalities.
  • B. Francisco Vela
    Francisco Vela was a Guatemalan engineer and cartographer best known for creating the famous three-dimensional Relief Map of Guatemala in Guatemala City.
  • C. José Gómez
    José Gómez was a figure significant enough in Chilean or maritime history that the remote Pacific island Salas y Gómez was named in his honor.
  • D. Cristo Fernández
    Cristo Fernández is a Mexican actor and former professional footballer best known for playing the exuberant footballer Dani Rojas on the television series "Ted Lasso."
  • E. Javier García
    Javier García is a common Spanish name shared by multiple notable individuals across fields such as sports, politics, and the arts.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea355e888190a97de097158933ca completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db0c60148190b066e04f98b91dce completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:55 p.m.