Triple

T19810118
Position Surface form Disambiguated ID Type / Status
Subject 1976 ABA Championship E475919 entity
Predicate notablePlayer P304 FINISHED
Object Dan Issel NE NERFINISHED

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: Dan Issel | Statement: [1976 ABA Championship, notablePlayer, Dan Issel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Issel
Context triple: [1976 ABA Championship, notablePlayer, Dan Issel]
  • A. Dan Issel chosen
    Dan Issel is a Hall of Fame American basketball player and coach best known as a prolific scoring big man in the ABA and NBA, particularly with the Kentucky Colonels and Denver Nuggets.
  • B. Tyler Dawson
    Tyler Dawson is a central character in the 1938 adventure film "Spawn of the North," set in the rugged Alaskan frontier.
  • C. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • D. Donavon Frankenreiter
    Donavon Frankenreiter is an American singer-songwriter and surfer known for his laid-back, folk-rock sound and close association with Jack Johnson and the surf music scene.
  • E. Corbin Bleu
    Corbin Bleu is an American actor, singer, and dancer best known for his breakout role in Disney Channel’s High School Musical franchise and subsequent work in film, television, and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542ac1b48190a0cb69dbceca74da completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.