Triple

T8682753
Position Surface form Disambiguated ID Type / Status
Subject The Show of Shows E206076 entity
Predicate hasCastMember P2308 FINISHED
Object Sid Silvers E132955 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: Sid Silvers | Statement: [The Show of Shows, hasCastMember, Sid Silvers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid Silvers
Context triple: [The Show of Shows, hasCastMember, Sid Silvers]
  • A. Sid Silvers chosen
    Sid Silvers was an American comedian, actor, and writer known for his work in early Hollywood musicals and comedies.
  • B. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • C. Mace Siegel
    Mace Siegel was an American real estate developer and businessman best known as a co-founder and longtime leader of The Macerich Company, one of the largest shopping center owners in the United States.
  • D. Louis Silvers
    Louis Silvers was an American composer and musical director best known for scoring early sound films in Hollywood during the late 1920s and 1930s.
  • E. Phil Silvers
    Phil Silvers was an American comedian and actor best known for his fast-talking, scheming persona, especially in the classic TV series "The Phil Silvers Show" where he played Sergeant Bilko.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae82e508190b0243328e98fcb1d completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.