Triple

T9701933
Position Surface form Disambiguated ID Type / Status
Subject Boz Scaggs E234796 entity
Predicate associatedAct P37 FINISHED
Object Donald Fagen E495538 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: Donald Fagen | Statement: [Boz Scaggs, associatedAct, Donald Fagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Fagen
Context triple: [Boz Scaggs, associatedAct, Donald Fagen]
  • A. 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.
  • B. Walter Becker chosen
    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.
  • C. Michael Franks
    Michael Franks is an American jazz and soft rock singer-songwriter known for his smooth vocal style and sophisticated, often witty lyrics.
  • D. Michael Zager
    Michael Zager is an American record producer, composer, and arranger best known for his work in disco and pop music, including the hit "Let's All Chant."
  • E. Peter Brandt
    Peter Brandt is a German historian and academic, known for his work on modern German and European history and as the son of former Chancellor Willy Brandt.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d7283188190bd50e18f643ad0d3 completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912e645881908d223a93f3ee61da completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:18 p.m.