Triple

T17648483
Position Surface form Disambiguated ID Type / Status
Subject House of Enríquez E429422 entity
Predicate hasSurname P18 FINISHED
Object Enríquez 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: Enríquez | Statement: [House of Enríquez, hasSurname, Enríquez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enríquez
Context triple: [House of Enríquez, hasSurname, Enríquez]
  • A. Enríquez chosen
    Enríquez is a Spanish surname historically associated with noble lineages and prominent figures in the kingdoms of Castile and Aragon.
  • B. Mazariegos
    Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • E. Enríquez de Arana
    Enríquez de Arana is the surname of Beatriz Enríquez de Arana, a woman from Córdoba known primarily as the mistress of Christopher Columbus and mother of his son Fernando.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3bc2f8819092e3365d9e798386 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.