Triple

T4804867
Position Surface form Disambiguated ID Type / Status
Subject Martha Argerich E106923 entity
Predicate familyName P18 FINISHED
Object Argerich E106923 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: Argerich | Statement: [Martha Argerich, familyName, Argerich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argerich
Context triple: [Martha Argerich, familyName, Argerich]
  • A. Martha Argerich chosen
    Martha Argerich is an acclaimed Argentine classical pianist renowned for her virtuosic technique and passionate interpretations, particularly of Romantic and 20th-century repertoire.
  • B. Renata Klein
    Renata Klein is a wealthy, high-powered executive and fiercely protective mother featured in the television series "Big Little Lies."
  • C. Ifigenia Martínez
    Ifigenia Martínez is a Mexican economist, diplomat, and left-wing politician best known as one of the founding figures of modern progressive politics in Mexico.
  • D. Carmen Valverde
    Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
  • E. Silvia de Bondini
    Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c664c3c81908e4d9a7c8c19744b completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4403ef888190b41c9a0db6bf47aa completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.