Triple

T13791896
Position Surface form Disambiguated ID Type / Status
Subject L.A.'s Finest E331417 entity
Predicate executiveProducer P7225 FINISHED
Object Jonathan Littman E748025 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: Jonathan Littman | Statement: [L.A.'s Finest, executiveProducer, Jonathan Littman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Littman
Context triple: [L.A.'s Finest, executiveProducer, Jonathan Littman]
  • A. Jonathan Littman chosen
    Jonathan Littman is a television producer best known for his executive production work on the CSI franchise and other major crime and drama series.
  • B. Matthew Salsberg
    Matthew Salsberg is a television writer and producer best known for his work on the dark comedy series "Weeds."
  • C. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • D. Adam Siegel
    Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
  • E. Elliott Goldstein
    Elliott Goldstein, better known as Elliott Gould, is an American actor renowned for his work in films such as "M*A*S*H," "Bob & Carol & Ted & Alice," and the "Ocean's Eleven" series.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd9498f8848190a170a3d41c9e3a76 completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 10:11 p.m.