Triple

T20304304
Position Surface form Disambiguated ID Type / Status
Subject Jorge Esquivel E505565 entity
Predicate hasSurname P18 FINISHED
Object Esquivel 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: Esquivel | Statement: [Jorge Esquivel, hasSurname, Esquivel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esquivel
Context triple: [Jorge Esquivel, hasSurname, Esquivel]
  • A. Esquivel chosen
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • B. Del Valle
    Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • E. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773ed3248190ba949ec941e8d41f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:17 a.m.