Triple

T19460869
Position Surface form Disambiguated ID Type / Status
Subject Meet the Robinsons E486864 entity
Predicate screenwriter P2831 FINISHED
Object Jon Bernstein 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: Jon Bernstein | Statement: [Meet the Robinsons, screenwriter, Jon Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Bernstein
Context triple: [Meet the Robinsons, screenwriter, Jon 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. Jim Bernstein
    Jim Bernstein is a television writer and producer best known for co-creating the Disney XD superhero-themed comedy series "Mighty Med."
  • C. 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.
  • D. Michael Bernstein
    Michael Bernstein is a film producer known for his work on the music documentary "Clive Davis: The Soundtrack of Our Lives."
  • E. Nathan Bernstein
    Nathan Bernstein, better known as Tito Burns, was a British jazz accordionist, bandleader, and influential music manager and agent in the mid-20th century UK entertainment industry.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c983f481908b2684dc4380b889 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.