Triple

T22490748
Position Surface form Disambiguated ID Type / Status
Subject 1996 Summer Olympics women's football tournament E556009 entity
Predicate topScorer P6605 FINISHED
Object Pretinha 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: Pretinha | Statement: [1996 Summer Olympics women's football tournament, topScorer, Pretinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pretinha
Context triple: [1996 Summer Olympics women's football tournament, topScorer, Pretinha]
  • A. Pretinha chosen
    Pretinha is a former Brazilian women's footballer renowned as one of the pioneering stars of Brazil’s women’s national team and a key figure in the early development of the women’s game in the country.
  • B. Liminha
    Liminha is a renowned Brazilian music producer and bassist known for his influential work shaping the sound of modern Brazilian popular music.
  • C. Branca
    Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
  • D. Branca
    Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
  • E. Pixinguinha
    Pixinguinha was a pioneering Brazilian composer, arranger, and flutist who helped define and popularize the choro genre in the early 20th century.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.