Triple

T11979377
Position Surface form Disambiguated ID Type / Status
Subject Alberto Etcheverry E285117 entity
Predicate familyName P18 FINISHED
Object Etcheverry E285117 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: Etcheverry | Statement: [Alberto Etcheverry, familyName, Etcheverry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etcheverry
Context triple: [Alberto Etcheverry, familyName, Etcheverry]
  • A. Etcheverry chosen
    Etcheverry is a Spanish-language surname of Basque origin borne by various notable individuals in sports, politics, and the arts.
  • B. Moreno
    Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
  • C. Moreno
    Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
  • D. San DiFrangeles
    San DiFrangeles is the fictional, hybridized city setting of the TV series "Scrubs," combining elements of San Diego and Los Angeles.
  • E. Aravena
    Aravena is a Chilean surname most prominently associated with Alejandro Aravena, the renowned architect and Pritzker Prize laureate.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47209bd088190bf4c7687c0a5eed6 completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.