Triple

T16097142
Position Surface form Disambiguated ID Type / Status
Subject The Bill Dana Show E390516 entity
Predicate starring P1507 FINISHED
Object Bill Dana E1195917 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: Bill Dana | Statement: [The Bill Dana Show, starring, Bill Dana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Dana
Context triple: [The Bill Dana Show, starring, Bill Dana]
  • A. Bill Dana chosen
    Bill Dana was an American comedian, writer, and actor best known for his character José Jiménez and his influential work in television comedy.
  • B. 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.
  • C. Larry Vanover
    Larry Vanover is a longtime Major League Baseball umpire who has worked numerous regular-season and postseason games since the early 1990s.
  • D. Dave Gregory
    Dave Gregory is an English guitarist and songwriter best known for his work with the new wave band XTC.
  • E. 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.
  • 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_69e18593d0fc8190aa3ba3edb4219aaa completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79a96d08190af69cbb18037f66e completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:59 a.m.