Triple

T22974022
Position Surface form Disambiguated ID Type / Status
Subject Storks E571263 entity
Predicate voiceCast P18510 FINISHED
Object Kelsey Grammer 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: Kelsey Grammer | Statement: [Storks, voiceCast, Kelsey Grammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelsey Grammer
Context triple: [Storks, voiceCast, Kelsey Grammer]
  • A. Kelsey Grammer chosen
    Kelsey Grammer is an American actor best known for his long-running, Emmy-winning portrayal of Dr. Frasier Crane on the sitcoms "Cheers" and "Frasier."
  • B. David Hyde Pierce
    David Hyde Pierce is an American actor best known for his Emmy-winning role as Dr. Niles Crane on the television sitcom "Frasier."
  • C. William H. Murray
    William H. Murray was an American lawyer and politician who served as the ninth governor of Oklahoma and was a prominent figure in the state’s early political history.
  • D. Tim Metcalfe
    Tim Metcalfe is a music producer best known for his work on Robbie Williams’ album "Take the Crown."
  • E. Tim Metcalfe
    Tim Metcalfe is an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.