Triple

T20744203
Position Surface form Disambiguated ID Type / Status
Subject King Ralph E510526 entity
Predicate producer P490 FINISHED
Object Jack Brodsky 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: Jack Brodsky | Statement: [King Ralph, producer, Jack Brodsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Brodsky
Context triple: [King Ralph, producer, Jack Brodsky]
  • A. Jack Brodsky chosen
    Jack Brodsky was a film producer best known for his work on the 1991 comedy "King Ralph."
  • B. Norm Brodsky
    Norm Brodsky is an American entrepreneur, author, and mentor known for building multiple successful businesses and sharing practical advice on entrepreneurship and leadership.
  • C. Stan Bronstein
    Stan Bronstein is an American saxophonist and multi-instrumentalist best known for his work with the New York rock band Elephant’s Memory, which frequently collaborated with John Lennon and Yoko Ono in the early 1970s.
  • D. Mike Plotnikoff
    Mike Plotnikoff is a Canadian record producer and mixing engineer known for his work with prominent rock and metal bands such as Three Days Grace, My Chemical Romance, and Buckcherry.
  • E. Steve Brodie
    Steve Brodie was an American character actor known for his prolific work in film noir and Westerns during the 1940s and 1950s.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.