Triple

T19982929
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn (2015 film) E493861 entity
Predicate editor P1954 FINISHED
Object Jake Roberts 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: Jake Roberts | Statement: [Brooklyn (2015 film), editor, Jake Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Roberts
Context triple: [Brooklyn (2015 film), editor, Jake Roberts]
  • A. Jake Roberts chosen
    Jake Roberts is a film editor known for his work on major feature films, including the 2024 movie "Civil War."
  • B. Jake Roberts
    Jake Roberts is a legendary professional wrestler best known for his sinister "Snake" persona, psychological mind games, and influential run in the WWF during the 1980s and early 1990s.
  • C. Jason Roberts
    Jason Roberts is an independent game designer best known for creating the critically acclaimed puzzle game Gorogoa.
  • D. Jake Robinson
    Jake Robinson is an American actor best known for his role in the television drama series "American Odyssey."
  • E. Jake Robards
    Jake Robards is a member of the Robards family, known primarily as a relative of American actor Sam Robards and part of a prominent acting lineage.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d14c3c08190b1ba8f4da08a4ccf completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.