Triple

T19359002
Position Surface form Disambiguated ID Type / Status
Subject Hart to Hart E484225 entity
Predicate executiveProducer P7225 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: [Hart to Hart, executiveProducer, Leonard Goldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard Goldberg
Context triple: [Hart to Hart, executiveProducer, 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.