Triple

T13420200
Position Surface form Disambiguated ID Type / Status
Subject One Fine Morning E313324 entity
Predicate lyricist P1360 FINISHED
Object Skip Prokop E1038949 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: Skip Prokop | Statement: [One Fine Morning, lyricist, Skip Prokop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skip Prokop
Context triple: [One Fine Morning, lyricist, Skip Prokop]
  • A. Skip Prokop chosen
    Skip Prokop was a Canadian drummer, songwriter, and bandleader best known as a founding member of the jazz-rock group Lighthouse.
  • B. John Kundla
    John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
  • C. Tony Kubek
    Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
  • D. Johnny Klimek
    Johnny Klimek is a German-Australian film and television composer known for his frequent collaborations with director Tom Tykwer and work on major projects such as The Matrix Resurrections.
  • E. Marc Sirkin
    Marc Sirkin is a local political leader who serves as the mayor of Blue Ash, Ohio.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb98e808190948013e8f24779c6 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398984f48190adaa1963d261d538 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:39 p.m.