Triple

T5695842
Position Surface form Disambiguated ID Type / Status
Subject Can-Can E125536 entity
Predicate originalChoreographer P806 FINISHED
Object Michael Kidd E516742 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: Michael Kidd | Statement: [Can-Can, originalChoreographer, Michael Kidd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kidd
Context triple: [Can-Can, originalChoreographer, Michael Kidd]
  • A. Michael Kidd chosen
    Michael Kidd was an acclaimed American choreographer and director renowned for his dynamic, character-driven dance work in Broadway musicals and Hollywood films.
  • B. Kenny Johnson
    Kenny Johnson is an American actor best known for his role as Detective Curtis Lemansky on the television crime drama "The Shield."
  • C. John Kibler
    John Kibler was a longtime Major League Baseball umpire best known for serving as crew chief during the 1986 World Series.
  • D. David Rivers
    David Rivers is a former American professional basketball player best known for his standout college career at Notre Dame and subsequent play in the NBA and top European leagues.
  • E. Roy Tarpley
    Roy Tarpley was an American professional basketball player, best known as a talented but troubled Dallas Mavericks big man whose NBA career was derailed by substance abuse issues.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.