Triple

T13815567
Position Surface form Disambiguated ID Type / Status
Subject 2006 WNBA season E332005 entity
Predicate sportsmanshipAward P17391 FINISHED
Object Ticha Penicheiro E322737 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: Ticha Penicheiro | Statement: [2006 WNBA season, sportsmanshipAward, Ticha Penicheiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ticha Penicheiro
Context triple: [2006 WNBA season, sportsmanshipAward, Ticha Penicheiro]
  • A. Ticha Penicheiro chosen
    Ticha Penicheiro is a Portuguese former professional basketball player and WNBA star renowned as one of the greatest passers and playmakers in women’s basketball history.
  • B. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • C. Paz Ferreira
    Paz Ferreira is the wife of retired Uruguayan football star Diego Forlán.
  • D. Elisa Claro
    Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
  • E. Yolanda Penteado
    Yolanda Penteado was a prominent Brazilian arts patron and cultural organizer who played a key role in the development of modern art in São Paulo.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb648146c8190842a3da4e4c0e217 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 10:12 p.m.