Triple

T23044129
Position Surface form Disambiguated ID Type / Status
Subject Alex Reiger E573826 entity
Predicate hasColleague P398 FINISHED
Object Tony Banta 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: Tony Banta | Statement: [Alex Reiger, hasColleague, Tony Banta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Banta
Context triple: [Alex Reiger, hasColleague, Tony Banta]
  • A. Tony Banta chosen
    Tony Banta is a kind-hearted but somewhat dim-witted boxer and cab driver portrayed by Tony Danza on the classic sitcom "Taxi."
  • B. Gary Bonner
    Gary Bonner is a musician best known as a member of the new wave band Tom Tom Club.
  • C. David Brisbin
    David Brisbin is an American character actor known for his supporting roles in film and television, including appearances in projects like "Fear and Loathing in Las Vegas" and "Twin Peaks."
  • D. Don Bolles
    Don Bolles is an American punk rock drummer best known for his work with the influential Los Angeles band the Germs.
  • E. Gary Tarpinian
    Gary Tarpinian was an American television producer best known for creating and producing popular nonfiction and reality series, particularly in the history and science genres.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18517083c8190a0850da5440e0a73 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.