Triple

T15820429
Position Surface form Disambiguated ID Type / Status
Subject John Most E383591 entity
Predicate alsoKnownAs P39 FINISHED
Object Johnny Most E8901 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: Johnny Most | Statement: [John Most, alsoKnownAs, Johnny Most]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Most
Context triple: [John Most, alsoKnownAs, Johnny Most]
  • A. Johnny Most chosen
    Johnny Most was a legendary American sports broadcaster best known as the longtime, passionately partisan radio voice of the Boston Celtics.
  • B. Murray the K
    Murray the K was a prominent New York disc jockey and rock and roll promoter in the 1950s and 1960s, famed for his influential radio shows and multi-artist rock concerts.
  • C. Don Most
    Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
  • D. Bill Stern
    Bill Stern was a prominent American sportscaster and radio announcer best known for his dramatic play-by-play coverage and storytelling during the golden age of sports broadcasting.
  • E. Perry Diller
    Perry Diller is a child of pioneering American stand-up comedian and actress Phyllis Diller.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a6e6748190acb0791bd465587f completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9997e0048190b0c00a5a0ff561c9 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.