Triple

T16097141
Position Surface form Disambiguated ID Type / Status
Subject The Bill Dana Show E390516 entity
Predicate creator P184 FINISHED
Object Bill Dana
Bill Dana was an American comedian, writer, and actor best known for his character José Jiménez and his influential work in television comedy.
 E1195917 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: Bill Dana | Statement: [The Bill Dana Show, creator, Bill Dana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bill Dana
Context triple: [The Bill Dana Show, creator, Bill Dana]
  • A. David Conner
    David Conner was a United States Navy officer best known for commanding American naval forces in the Gulf of Mexico during the Mexican–American War.
  • B. Larry Vanover
    Larry Vanover is a longtime Major League Baseball umpire who has worked numerous regular-season and postseason games since the early 1990s.
  • C. Dave Gregory
    Dave Gregory is an English guitarist and songwriter best known for his work with the new wave band XTC.
  • D. Martin Short
    Martin Short is a Canadian-American comedian and actor renowned for his energetic characters and work on sketch comedy shows, films, and Broadway.
  • E. Al Murray
    Al Murray is a British comedian and television personality best known for his pub landlord character and sharp, observational stand-up comedy.
  • 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: Bill Dana
Triple: [The Bill Dana Show, creator, Bill Dana]
Generated description
Bill Dana was an American comedian, writer, and actor best known for his character José Jiménez and his influential work in television comedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bill Dana
Target entity description: Bill Dana was an American comedian, writer, and actor best known for his character José Jiménez and his influential work in television comedy.
  • A. David Conner
    David Conner was a United States Navy officer best known for commanding American naval forces in the Gulf of Mexico during the Mexican–American War.
  • B. Larry Vanover
    Larry Vanover is a longtime Major League Baseball umpire who has worked numerous regular-season and postseason games since the early 1990s.
  • C. Dave Gregory
    Dave Gregory is an English guitarist and songwriter best known for his work with the new wave band XTC.
  • D. Martin Short
    Martin Short is a Canadian-American comedian and actor renowned for his energetic characters and work on sketch comedy shows, films, and Broadway.
  • E. Al Murray
    Al Murray is a British comedian and television personality best known for his pub landlord character and sharp, observational stand-up comedy.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e18593d0fc8190aa3ba3edb4219aaa completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29da7008190aebeb35113e726ef completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3ea3b448190b5317c8d5ef3d78a completed May 10, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_69fff447e1248190a3a1386946172429 completed May 10, 2026, 2:58 a.m.
Created at: April 10, 2026, 4:59 a.m.