Triple

T15329870
Position Surface form Disambiguated ID Type / Status
Subject Tom Kane E366504 entity
Predicate portrayedBy P1507 FINISHED
Object Kelsey Grammer E75218 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: Kelsey Grammer | Statement: [Tom Kane, portrayedBy, Kelsey Grammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelsey Grammer
Context triple: [Tom Kane, portrayedBy, 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 an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
  • E. Ted Danson
    Ted Danson is an American actor best known for his iconic role as bartender Sam Malone on the television sitcom "Cheers" and for his extensive work in film and television comedy.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a67adf88190bbe15040761d235e completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:17 a.m.