Triple

T6438836
Position Surface form Disambiguated ID Type / Status
Subject Dick Howser Trophy E129966 entity
Predicate namedAfter P63 FINISHED
Object Dick Howser E105213 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: Dick Howser | Statement: [Dick Howser Trophy, namedAfter, Dick Howser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Howser
Context triple: [Dick Howser Trophy, namedAfter, Dick Howser]
  • A. Dick Howser chosen
    Dick Howser was an American Major League Baseball manager and former infielder best known for leading the Kansas City Royals to their first World Series championship in 1985.
  • B. Ray Blanton
    Ray Blanton was an American Democratic politician who served as governor of Tennessee in the late 1970s and became notorious for a clemency scandal involving the controversial pardoning of prisoners.
  • C. Dick Hantak
    Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
  • D. Don Hollar
    Don Hollar is a fictional family patriarch featured in the 2016 dramedy film "The Hollars."
  • E. Joe Noland
    Joe Noland is a fictional character from the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06965a5d48190a5860da9e22dc6e0 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fc86d0c8190a254126255a7af1b completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:45 p.m.