Triple

T19543719
Position Surface form Disambiguated ID Type / Status
Subject Bill Doyle E488979 entity
Predicate hasName P744 FINISHED
Object Bill Doyle
Bill Doyle is a relatively common personal name shared by multiple individuals across fields such as business, politics, and the arts.
E1381875 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 Doyle | Statement: [Bill Doyle, hasName, Bill Doyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Doyle
Context triple: [Bill Doyle, hasName, Bill Doyle]
  • A. Bill Doyle
    Bill Doyle is a fictional protagonist featured in the crime drama "Crime of Passion."
  • B. Ned Dowd
    Ned Dowd is an American film producer and former actor known for his work on action and adventure films such as "The 13th Warrior."
  • C. Ron Joyce
    Ron Joyce was a Canadian entrepreneur and philanthropist best known as the co-founder and driving force behind the expansion of the Tim Hortons coffee and doughnut chain.
  • D. Bill McBride
    Bill McBride was a Florida lawyer and Democratic politician best known for being the party’s nominee for governor in the 2002 Florida gubernatorial election against incumbent Jeb Bush.
  • E. Bill McGowan
    Bill McGowan was a prominent American Major League Baseball umpire renowned for his long career, authoritative style, and induction into the Baseball Hall of Fame.
  • 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 Doyle
Triple: [Bill Doyle, hasName, Bill Doyle]
Generated description
Bill Doyle is a relatively common personal name shared by multiple individuals across fields such as business, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bill Doyle
Target entity description: Bill Doyle is a relatively common personal name shared by multiple individuals across fields such as business, politics, and the arts.
  • A. Bill Doyle
    Bill Doyle is a fictional protagonist featured in the crime drama "Crime of Passion."
  • B. Ned Dowd
    Ned Dowd is an American film producer and former actor known for his work on action and adventure films such as "The 13th Warrior."
  • C. Ron Joyce
    Ron Joyce was a Canadian entrepreneur and philanthropist best known as the co-founder and driving force behind the expansion of the Tim Hortons coffee and doughnut chain.
  • D. Bill McBride
    Bill McBride was a Florida lawyer and Democratic politician best known for being the party’s nominee for governor in the 2002 Florida gubernatorial election against incumbent Jeb Bush.
  • E. Bill McGowan
    Bill McGowan was a prominent American Major League Baseball umpire renowned for his long career, authoritative style, and induction into the Baseball Hall of Fame.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e84fcdc8190a1995f2981016361 completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074f4f3c008190b6483a994b2309cd completed May 15, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_6a075019f0b48190ae2469b1979e6cce completed May 15, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:41 p.m.