Triple

T16087172
Position Surface form Disambiguated ID Type / Status
Subject Bartow Arena E390262 entity
Predicate namedAfter P63 FINISHED
Object Gene Bartow E390263 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: Gene Bartow | Statement: [Bartow Arena, namedAfter, Gene Bartow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Bartow
Context triple: [Bartow Arena, namedAfter, Gene Bartow]
  • A. Gene Bartow chosen
    Gene Bartow was a highly respected American college basketball coach best known for building the UAB program from scratch and for succeeding John Wooden at UCLA.
  • B. Manute Bol
    Manute Bol was a Sudanese-born NBA center renowned as one of the greatest shot-blockers in basketball history and a prominent humanitarian.
  • C. 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.
  • D. Mike Barnes
    Mike Barnes is the aggressive karate fighter hired to defeat Daniel LaRusso in the film "The Karate Kid Part III."
  • E. John Salley
    John Salley is a retired American NBA forward/center best known for his role on the Detroit Pistons’ “Bad Boys” championship teams and for being the first player to win titles with three different franchises.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844f95508190a06dad0ccc9b6191 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48ef3608190848d4730a4361395 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:59 a.m.