Triple

T919432
Position Surface form Disambiguated ID Type / Status
Subject New York Liberty E19848 entity
Predicate notablePlayer P304 FINISHED
Object Cappie Pondexter E55894 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: Cappie Pondexter | Statement: [New York Liberty, notablePlayer, Cappie Pondexter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cappie Pondexter
Context triple: [New York Liberty, notablePlayer, Cappie Pondexter]
  • A. Cappie Pondexter chosen
    Cappie Pondexter is an American former professional basketball player and WNBA star widely regarded as one of the league’s premier guards of her era.
  • B. Eboni Mills
    Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
  • C. Vonetta Flowers
    Vonetta Flowers is an American bobsledder who became the first Black athlete from any country to win a gold medal at the Winter Olympics.
  • D. Epiphanny Prince
    Epiphanny Prince is an American professional basketball player and former Rutgers University star guard known for her prolific scoring and WNBA career.
  • E. Gabrielle Union
    Gabrielle Union is an American actress, author, and producer known for her roles in films like "Bring It On" and "Bad Boys II" as well as the TV series "Being Mary Jane."
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3103bf48190af3f8d8b2d0fe918 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933a103908190a624039492079f82 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.