Triple

T11344793
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Burgess E268686 entity
Predicate coCreatedWith P7870 FINISHED
Object Leonard Goldberg E919619 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: Leonard Goldberg | Statement: [Mitchell Burgess, coCreatedWith, Leonard Goldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard Goldberg
Context triple: [Mitchell Burgess, coCreatedWith, 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. Thomas Goldberg
    Thomas Goldberg is one of the children of American cartoonist and inventor Rube Goldberg.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63449892881909d361815cbfcdee5 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:33 p.m.