Triple

T11116519
Position Surface form Disambiguated ID Type / Status
Subject Marsalis Standard Time, Vol. 1 E262897 entity
Predicate personnel P50783 FINISHED
Object Jeff Watts E905244 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: Jeff Watts | Statement: [Marsalis Standard Time, Vol. 1, personnel, Jeff Watts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Watts
Context triple: [Marsalis Standard Time, Vol. 1, personnel, Jeff Watts]
  • A. Jeff Watts chosen
    Jeff "Tain" Watts is an acclaimed American jazz drummer known for his powerful, innovative playing and long association with Wynton and Branford Marsalis.
  • B. Michael Watts
    Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
  • C. Jack Watts
    Jack Watts was a prominent British jockey known for his successful career riding top racehorses in the late 19th century.
  • D. Andrew Watts
    Andrew Watts is a British countertenor known for his performances in contemporary opera and concert repertoire.
  • E. Don Maynard
    Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa81d8c81908a387b56cbcc9128 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441cb16bc81908b5321506f655e38 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.