Triple

T3293690
Position Surface form Disambiguated ID Type / Status
Subject Dallas Green E69159 entity
Predicate name P16 FINISHED
Object Dallas Green E69159 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: Dallas Green | Statement: [Dallas Green, name, Dallas Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas Green
Context triple: [Dallas Green, name, Dallas Green]
  • A. Dallas Green chosen
    Dallas Green was an American Major League Baseball manager and executive best known for leading the Philadelphia Phillies to their first World Series championship in 1980.
  • B. Willie Green
    Willie Green is an American former NBA guard and current professional basketball coach known for leading the New Orleans Pelicans.
  • C. Sam O'Steen
    Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
  • D. Mick Rogers
    Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
  • E. Todd Tucker
    Todd Tucker is an American television producer and reality TV personality best known for his appearances on "The Real Housewives of Atlanta" alongside his wife, Kandi Burruss.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86b8e04819091f4a4ae6d6a87ad completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.