Triple

T19148347
Position Surface form Disambiguated ID Type / Status
Subject Ignacio Garriga E468739 entity
Predicate givenName P17 FINISHED
Object Ignacio 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: Ignacio | Statement: [Ignacio Garriga, givenName, Ignacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ignacio
Context triple: [Ignacio Garriga, givenName, Ignacio]
  • A. Ignacio chosen
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Ignacio
    Ignacio is a small unincorporated community in Marin County, California, located near the city of Novato.
  • C. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • D. Casimiro
    Casimiro is the commonly used name for Brazilian defensive midfielder Casemiro, a highly decorated footballer known for his success with Real Madrid and the Brazil national team.
  • 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 (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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97b48508190b61458821b6475ad completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.