Triple

T2133678
Position Surface form Disambiguated ID Type / Status
Subject Calixto García E46600 entity
Predicate familyName P18 FINISHED
Object García E135778 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: García | Statement: [Calixto García, familyName, García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: García
Context triple: [Calixto García, familyName, García]
  • A. García chosen
    García is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
  • B. Gutiérrez
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • C. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • D. Guillén
    Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
  • E. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba0c42c8190ab3ce4bbf1531ee1 completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51aa86ec8190acf86ac6b26ce4f1 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.