Triple

T8240251
Position Surface form Disambiguated ID Type / Status
Subject Néstor Kirchner E192516 entity
Predicate familyName P18 FINISHED
Object Kirchner E350812 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: Kirchner | Statement: [Néstor Kirchner, familyName, Kirchner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirchner
Context triple: [Néstor Kirchner, familyName, Kirchner]
  • A. Kirchner chosen
    Kirchner is a German surname most famously associated with Ernst Ludwig Kirchner, a leading Expressionist painter and co-founder of the artists' group Die Brücke.
  • B. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • C. Nicolás
    Nicolás is a masculine given name of Greek origin, commonly used in Spanish-speaking countries and derived from the name Nicholas, meaning "victory of the people."
  • D. Goicoechea
    Goicoechea is a canton in Costa Rica’s San José Province that forms part of the Greater Metropolitan Area of the capital.
  • E. Victor Steinbrueck
    Victor Steinbrueck was an American architect and preservationist best known for his influential role in shaping and protecting Seattle’s urban landscape, including its iconic landmarks.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783cce5c8190bf116704d2923ade completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd350f57d48190ae2f24d136bb3eee completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.