Triple

T6726051
Position Surface form Disambiguated ID Type / Status
Subject WNBA Most Improved Player Award E153519 entity
Predicate notableWinner P2766 FINISHED
Object Natasha Howard E607134 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: Natasha Howard | Statement: [WNBA Most Improved Player Award, notableWinner, Natasha Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natasha Howard
Context triple: [WNBA Most Improved Player Award, notableWinner, Natasha Howard]
  • A. Natasha Howard chosen
    Natasha Howard is an American professional basketball player known as one of the WNBA’s premier defensive forwards and a multi-time league champion.
  • B. Natasha Parry
    Natasha Parry was a British stage and screen actress known for her extensive work in classical theatre and frequent collaborations with her husband, director Peter Brook.
  • C. Larissa Howard
    Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
  • D. Jocelyn Howard
    Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
  • E. Christiana Evans
    Christiana Evans was the mother of the renowned Victorian novelist George Eliot (Mary Ann Evans).
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15131f08190aba6c00943c51331 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a5428c81908d4484c3e3734076 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:08 p.m.