Triple

T14167461
Position Surface form Disambiguated ID Type / Status
Subject Unsane E351115 entity
Predicate screenwriter P2831 FINISHED
Object Jonathan Bernstein E875056 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 Bernstein | Statement: [Unsane, screenwriter, Jonathan Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Bernstein
Context triple: [Unsane, screenwriter, Jonathan Bernstein]
  • A. Jonathan Bernstein chosen
    Jonathan Bernstein is a screenwriter and author known for his work on family-oriented action-comedy films and various film-related writings.
  • B. Michael Bernstein
    Michael Bernstein is a film producer known for his work on the music documentary "Clive Davis: The Soundtrack of Our Lives."
  • C. Adam Bernstein
    Adam Bernstein is an American director best known for his work on influential music videos and acclaimed television series such as "Fargo" and "30 Rock."
  • D. Joel Bernstein
    Joel Bernstein is an American photographer and guitarist best known for his iconic album cover photography and long-term collaborations with major rock and folk musicians.
  • E. Jim Bernstein
    Jim Bernstein is a television writer and producer best known for co-creating the Disney XD superhero-themed comedy series "Mighty Med."
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa0e98c81908f6b55a04cd72871 completed May 8, 2026, 7:02 a.m.
Created at: April 10, 2026, 1 a.m.