Triple

T12278819
Position Surface form Disambiguated ID Type / Status
Subject Taxi E292660 entity
Predicate mainCharacter P1183 FINISHED
Object Bobby Wheeler
Bobby Wheeler is a naive but good-hearted aspiring actor and cab driver from the classic television sitcom "Taxi."
 E989937 NE FINISHED

How this triple was built (4 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: Bobby Wheeler | Statement: [Taxi, mainCharacter, Bobby Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bobby Wheeler
Context triple: [Taxi, mainCharacter, Bobby Wheeler]
  • A. Butch Coolidge
    Butch Coolidge is a tough, aging boxer in the film "Pulp Fiction" who becomes entangled in a violent series of events after double-crossing a crime boss.
  • B. Wilder Brown
    Wilder Brown is a person known primarily for bearing the given name Wilder.
  • C. Willie Fisher
    Willie Fisher was the birth name of Rudolf Abel, a Soviet intelligence officer and Cold War spy who operated in the United States.
  • D. George "Mule" Suttles
    George "Mule" Suttles was a powerful Negro Leagues slugger and Hall of Fame first baseman/outfielder renowned for his prodigious home runs during the early 20th century.
  • E. Hoke Colburn
    Hoke Colburn is the kind, patient African-American chauffeur whose evolving friendship with an elderly Jewish woman forms the emotional core of the play and film "Driving Miss Daisy."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bobby Wheeler
Triple: [Taxi, mainCharacter, Bobby Wheeler]
Generated description
Bobby Wheeler is a naive but good-hearted aspiring actor and cab driver from the classic television sitcom "Taxi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bobby Wheeler
Target entity description: Bobby Wheeler is a naive but good-hearted aspiring actor and cab driver from the classic television sitcom "Taxi."
  • A. Butch Coolidge
    Butch Coolidge is a tough, aging boxer in the film "Pulp Fiction" who becomes entangled in a violent series of events after double-crossing a crime boss.
  • B. Wilder Brown
    Wilder Brown is a person known primarily for bearing the given name Wilder.
  • C. Willie Fisher
    Willie Fisher was the birth name of Rudolf Abel, a Soviet intelligence officer and Cold War spy who operated in the United States.
  • D. George "Mule" Suttles
    George "Mule" Suttles was a powerful Negro Leagues slugger and Hall of Fame first baseman/outfielder renowned for his prodigious home runs during the early 20th century.
  • E. Hoke Colburn
    Hoke Colburn is the kind, patient African-American chauffeur whose evolving friendship with an elderly Jewish woman forms the emotional core of the play and film "Driving Miss Daisy."
  • F. None of above. chosen

Provenance (5 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555c73208190a8846a5db1a6802e completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f6566dccc0819085e059c7b0288f6c completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:52 p.m.