Triple

T19829906
Position Surface form Disambiguated ID Type / Status
Subject Luke Bulla E476428 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object John Cowan NE NERFINISHED

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 Cowan | Statement: [Luke Bulla, hasCollaboratedWith, John Cowan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cowan
Context triple: [Luke Bulla, hasCollaboratedWith, John Cowan]
  • A. John Cowan chosen
    John Cowan is an American bassist and vocalist best known for his work in progressive bluegrass with New Grass Revival and later collaborations in rock and country music.
  • B. Chris Kantrowitz
    Chris Kantrowitz is an American entrepreneur and technology executive known for founding and leading several companies in the gaming, music, and education-tech industries.
  • C. John Fryer
    John Fryer is a British record producer and audio engineer best known for his influential work in alternative and gothic music, including projects like This Mortal Coil and numerous 4AD artists.
  • D. John C. Wells
    John C. Wells is a prominent British phonetician and phonologist known for his influential work on English accents and pronunciation, including his analyses of BBC English.
  • E. Max Freeling
    Max Freeling is a character in Michael Connelly’s crime novel "Void Moon," involved in the book’s tense, noir-style heist and underworld drama.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cd9b94819081a541bb6c5c2942 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.