Triple

T18164188
Position Surface form Disambiguated ID Type / Status
Subject Midnight Ramble concerts E434846 entity
Predicate featuredGuest P45889 FINISHED
Object Donald Fagen 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: Donald Fagen | Statement: [Midnight Ramble concerts, featuredGuest, Donald Fagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Fagen
Context triple: [Midnight Ramble concerts, featuredGuest, Donald Fagen]
  • A. Donald Fagen chosen
    Donald Fagen is an American musician, singer, and songwriter best known as the co-founder, lead vocalist, and keyboardist of the jazz-rock band Steely Dan.
  • B. Greg Morrisett
    Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
  • C. Mike Garfath
    Mike Garfath is a cinematographer best known for his work on the British neo-noir film "Croupier."
  • D. Walter Becker
    Walter Becker was an American musician, songwriter, and record producer best known as the co-founder, guitarist, and bassist of the jazz-rock band Steely Dan.
  • E. Michael Franks
    Michael Franks is an American jazz and soft rock singer-songwriter known for his smooth vocal style and sophisticated, often witty lyrics.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec55a088190868ee0b0a310fefb completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.