Triple

T12770006
Position Surface form Disambiguated ID Type / Status
Subject Jackie Mason E305221 entity
Predicate name P16 FINISHED
Object Jackie Mason E305221 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: Jackie Mason | Statement: [Jackie Mason, name, Jackie Mason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackie Mason
Context triple: [Jackie Mason, name, Jackie Mason]
  • A. Jackie Mason chosen
    Jackie Mason was an American stand-up comedian and actor known for his Borscht Belt–style Jewish humor, distinctive voice, and frequent appearances in film, television, and on Broadway.
  • B. Don Rickles
    Don Rickles was an American stand-up comedian and actor famed for his pioneering insult comedy style and frequent appearances on television and in films from the 1960s onward.
  • C. Henny Youngman
    Henny Youngman was a British-American comedian and violinist famed for his rapid-fire one-liners and the catchphrase "Take my wife—please."
  • D. Mort Sahl
    Mort Sahl was a pioneering American stand-up comedian known for his sharp, politically charged, conversational style that helped transform modern comedy.
  • E. Hyman Goldberg
    Hyman Goldberg was an American food writer and restaurant critic best known for his long-running “The Underground Gourmet” column in New York.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.