Triple

T20682916
Position Surface form Disambiguated ID Type / Status
Subject Joaquín de la Pezuela E508340 entity
Predicate givenName P17 FINISHED
Object Joaquín 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: Joaquín | Statement: [Joaquín de la Pezuela, givenName, Joaquín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquín
Context triple: [Joaquín de la Pezuela, givenName, Joaquín]
  • A. Joaquin chosen
    Joaquin is a masculine given name of Spanish origin, widely recognized through its association with acclaimed actor Joaquin Phoenix.
  • B. Joaquín Salvador Lavado Tejón
    Joaquín Salvador Lavado Tejón, better known as Quino, was an Argentine cartoonist and humorist famed worldwide as the creator of the comic strip Mafalda.
  • C. Alejandro Murrieta
    Alejandro Murrieta is the young, hot-headed bandit who becomes the new Zorro under the mentorship of the original hero in the film "The Mask of Zorro."
  • D. Freddy Juarez
    Freddy Juarez is an American soccer coach and former player best known for his managerial role in Major League Soccer, including his tenure leading Real Salt Lake.
  • E. Guzman
    Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea9771881908a077d01f53f6d52 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.