Triple

T20083389
Position Surface form Disambiguated ID Type / Status
Subject Poco E500060 entity
Predicate hasFormerMember P1168 FINISHED
Object Paul Cotton
Paul Cotton was an American guitarist, singer, and songwriter best known for his long tenure with the country rock band Poco.
 E1415576 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: Paul Cotton | Statement: [Poco, hasFormerMember, Paul Cotton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Cotton
Context triple: [Poco, hasFormerMember, Paul Cotton]
  • A. Paul Jesperson
    Paul Jesperson is an American former college basketball player best known for his memorable half-court buzzer-beater in the 2016 NCAA Tournament while playing for the Northern Iowa Panthers.
  • B. Paul Rutman
    Paul Rutman is a British television producer and writer known for his work on historical and drama series.
  • C. John Crowell
    John Crowell is a person notable enough to be recognized as a significant bearer of the surname Crowell.
  • D. Paul Christman
    Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
  • E. Paul Kirkwood
    Paul Kirkwood is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, nostalgia, and romantic uncertainty revolve.
  • 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: Paul Cotton
Triple: [Poco, hasFormerMember, Paul Cotton]
Generated description
Paul Cotton was an American guitarist, singer, and songwriter best known for his long tenure with the country rock band Poco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Cotton
Target entity description: Paul Cotton was an American guitarist, singer, and songwriter best known for his long tenure with the country rock band Poco.
  • A. Paul Jesperson
    Paul Jesperson is an American former college basketball player best known for his memorable half-court buzzer-beater in the 2016 NCAA Tournament while playing for the Northern Iowa Panthers.
  • B. Paul Rutman
    Paul Rutman is a British television producer and writer known for his work on historical and drama series.
  • C. John Crowell
    John Crowell is a person notable enough to be recognized as a significant bearer of the surname Crowell.
  • D. Paul Christman
    Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
  • E. Paul Kirkwood
    Paul Kirkwood is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, nostalgia, and romantic uncertainty revolve.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655946f48190a6b4cb13ea4e212a completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08345fa2688190a25f359fc500c0c5 completed May 16, 2026, 9:09 a.m.
NEDg Description generation batch_6a08387068e48190b04a2704296e697e completed May 16, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a083a11f4388190ba002c1cea24789a completed May 16, 2026, 9:34 a.m.
Created at: April 11, 2026, 3:41 p.m.