Triple

T10219898
Position Surface form Disambiguated ID Type / Status
Subject Dick Vitale E242547 entity
Predicate nickname P55 FINISHED
Object Dick Vitale E242547 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 Vitale | Statement: [Dick Vitale, nickname, Dick Vitale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Vitale
Context triple: [Dick Vitale, nickname, Dick Vitale]
  • A. Dick Vitale chosen
    Dick Vitale is a famed American basketball sportscaster and former coach, best known for his enthusiastic, catchphrase-filled commentary on ESPN college basketball broadcasts.
  • B. Rudy Tomjanovich
    Rudy Tomjanovich is a former NBA player and Hall of Fame coach best known for leading the Houston Rockets to back-to-back championships in the mid-1990s.
  • C. Christian Laettner
    Christian Laettner is a former American basketball player best known as a dominant college star at Duke University and a member of the 1992 U.S. Olympic "Dream Team."
  • D. Kurt Rambis
    Kurt Rambis is a former NBA forward best known for his role on the 1980s Los Angeles Lakers championship teams and later work as a coach and executive.
  • E. Pat Rushin
    Pat Rushin is an American writer and screenwriter best known for penning the screenplay that became Terry Gilliam’s science-fiction film "The Zero Theorem."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a82c98fc8190929b7b56f9a6e60d completed April 8, 2026, 7:10 p.m.
Created at: April 6, 2026, 11:08 a.m.