Triple

T21627228
Position Surface form Disambiguated ID Type / Status
Subject M.U.L.E. E533734 entity
Predicate designer P184 FINISHED
Object Bill Bunten
Bill Bunten is a game designer best known for his work on the influential 1983 multiplayer economic strategy game M.U.L.E.
E1494098 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 Bunten | Statement: [M.U.L.E., designer, Bill Bunten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Bunten
Context triple: [M.U.L.E., designer, Bill Bunten]
  • A. Joe Coburn
    Joe Coburn was a 19th-century Irish-American bare-knuckle boxer who became one of the leading heavyweight fighters of his era.
  • B. Jerry Warriner
    Jerry Warriner is the charming, witty husband whose marital misadventures and romantic sparring drive the screwball comedy of the classic film "The Awful Truth."
  • C. John Breen
    John Breen is known primarily as the son of Patrick Breen, a member of the Donner Party whose detailed diary documented the infamous 1846–1847 Sierra Nevada ordeal.
  • D. Frank Troup
    Frank Troup was an English cricketer who played first-class cricket in the early 20th century.
  • E. Joe Breen
    Joe Breen is the commonly used name of Joseph I. Breen, a notable figure historically associated with film content regulation in the United States.
  • 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 Bunten
Triple: [M.U.L.E., designer, Bill Bunten]
Generated description
Bill Bunten is a game designer best known for his work on the influential 1983 multiplayer economic strategy game M.U.L.E.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bill Bunten
Target entity description: Bill Bunten is a game designer best known for his work on the influential 1983 multiplayer economic strategy game M.U.L.E.
  • A. Joe Coburn
    Joe Coburn was a 19th-century Irish-American bare-knuckle boxer who became one of the leading heavyweight fighters of his era.
  • B. Jerry Warriner
    Jerry Warriner is the charming, witty husband whose marital misadventures and romantic sparring drive the screwball comedy of the classic film "The Awful Truth."
  • C. John Breen
    John Breen is known primarily as the son of Patrick Breen, a member of the Donner Party whose detailed diary documented the infamous 1846–1847 Sierra Nevada ordeal.
  • D. Frank Troup
    Frank Troup was an English cricketer who played first-class cricket in the early 20th century.
  • E. Joe Breen
    Joe Breen is the commonly used name of Joseph I. Breen, a notable figure historically associated with film content regulation in the United States.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52141e1c8190a861f4bc7cfcb490 completed April 27, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f9531b08190bbddca01060f20ae completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a108bf4608190af587dd34077f2ad completed May 17, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a110507d48190ad75223311ce159e completed May 17, 2026, 7:03 p.m.
Created at: April 16, 2026, 6:34 p.m.