Triple

T14489337
Position Surface form Disambiguated ID Type / Status
Subject Skillet E359321 entity
Predicate bassist P15279 FINISHED
Object John Cooper E1103462 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: John Cooper | Statement: [Skillet, bassist, John Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cooper
Context triple: [Skillet, bassist, John Cooper]
  • A. John Cooper
    John Cooper is the central police officer protagonist in the television drama series "Southland," known for his complex personality and gritty portrayal of life in the Los Angeles Police Department.
  • B. John Cooper
    John Cooper was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • C. John Cooper chosen
    John Cooper is the lead vocalist and bassist of the American Christian rock band Skillet.
  • D. John Cooper
    John Cooper is an American football coach best known for his successful collegiate head coaching tenures at programs such as Arizona State and Ohio State.
  • E. John Cooper Jr.
    John Cooper Jr., better known as Jackie Cooper, was an American child actor who became one of Hollywood’s first major child stars and later a successful adult actor and television director.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930bd1d48190abd6c47da0a3ebc8 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a7187c81909f173c2fb70509f5 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:20 a.m.