Triple

T8762105
Position Surface form Disambiguated ID Type / Status
Subject Roberto Octavio González Nieves E208226 entity
Predicate familyName P18 FINISHED
Object González E546534 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: González | Statement: [Roberto Octavio González Nieves, familyName, González]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: González
Context triple: [Roberto Octavio González Nieves, familyName, González]
  • A. González chosen
    González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
  • B. Gutiérrez
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • C. Gonsalez
    Gonsalez is one of the central vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
  • D. Vázquez
    Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
  • E. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfa9d6c81908c4c6b3a6f84f67d completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4354a4c081908c338db408694abf completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.