Triple

T8577708
Position Surface form Disambiguated ID Type / Status
Subject Spock’s Beard E203088 entity
Predicate hasPart P35 FINISHED
Object Jimmy Keegan
Jimmy Keegan is an American drummer best known for his work with the progressive rock band Spock’s Beard.
 E743763 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: Jimmy Keegan | Statement: [Spock’s Beard, hasPart, Jimmy Keegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jimmy Keegan
Context triple: [Spock’s Beard, hasPart, Jimmy Keegan]
  • A. Tom Keogh
    Tom Keogh was a noted costume designer best known for his work in mid-20th-century theatre and film productions.
  • B. Joe Kerrigan
    Joe Kerrigan is a former Major League Baseball pitching coach and brief Boston Red Sox manager best known for his long coaching career with several MLB teams.
  • C. Marty Dwyer
    Marty Dwyer is a comedic supporting character in the 1995 romantic comedy film "Nine Months," contributing to the movie’s lighthearted take on impending parenthood.
  • D. Jim Keogh
    Jim Keogh is the fictional protagonist of the political thriller film "The Wilby Conspiracy," an engineer who becomes entangled in anti-apartheid resistance activities in South Africa.
  • E. Jack Kehoe
    Jack Kehoe was an American character actor known for his memorable supporting roles in films of the 1970s and 1980s, including crime dramas and comedies.
  • 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: Jimmy Keegan
Triple: [Spock’s Beard, hasPart, Jimmy Keegan]
Generated description
Jimmy Keegan is an American drummer best known for his work with the progressive rock band Spock’s Beard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jimmy Keegan
Target entity description: Jimmy Keegan is an American drummer best known for his work with the progressive rock band Spock’s Beard.
  • A. Tom Keogh
    Tom Keogh was a noted costume designer best known for his work in mid-20th-century theatre and film productions.
  • B. Joe Kerrigan
    Joe Kerrigan is a former Major League Baseball pitching coach and brief Boston Red Sox manager best known for his long coaching career with several MLB teams.
  • C. Marty Dwyer
    Marty Dwyer is a comedic supporting character in the 1995 romantic comedy film "Nine Months," contributing to the movie’s lighthearted take on impending parenthood.
  • D. Jim Keogh
    Jim Keogh is the fictional protagonist of the political thriller film "The Wilby Conspiracy," an engineer who becomes entangled in anti-apartheid resistance activities in South Africa.
  • E. Jack Kehoe
    Jack Kehoe was an American character actor known for his memorable supporting roles in films of the 1970s and 1980s, including crime dramas and comedies.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea989bec81909b8c8b4af7c568ff completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce899dd7d48190b44338b92ad68bd0 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8c7ad5cc8190a50c8e15ce353d1d completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d5c45e0819087c5e6933d4a01bd completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:22 p.m.