Triple

T20338544
Position Surface form Disambiguated ID Type / Status
Subject Double Jeopardy E495679 entity
Predicate producer P490 FINISHED
Object Leonard Goldberg 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: Leonard Goldberg | Statement: [Double Jeopardy, producer, Leonard Goldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard Goldberg
Context triple: [Double Jeopardy, producer, Leonard Goldberg]
  • A. Leonard Goldberg chosen
    Leonard Goldberg was an American television and film producer known for creating and overseeing numerous popular series and movies from the 1960s onward.
  • B. Frank Goldberg
    Frank Goldberg is a businessman best known for owning the former American Basketball Association team the San Diego Sails.
  • C. Leonard Stein
    Leonard Stein was a British lawyer, Zionist leader, and historian best known for his authoritative work on the Balfour Declaration.
  • D. Leonard Gershe
    Leonard Gershe was an American playwright and screenwriter best known for his work on stage and film musicals, including the screenplay for "Funny Face."
  • E. Leonard Shapiro
    Leonard Shapiro is a film producer best known for his work on the comedy sequel "Hamlet 2."
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678332bd08190a83880fb6aa32e08 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.