Triple

T19534816
Position Surface form Disambiguated ID Type / Status
Subject Misery Business E488741 entity
Predicate producer P490 FINISHED
Object David Bendeth 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: David Bendeth | Statement: [Misery Business, producer, David Bendeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Bendeth
Context triple: [Misery Business, producer, David Bendeth]
  • A. David Bendeth chosen
    David Bendeth is a Canadian record producer and mixer known for his work on numerous rock and alternative albums for bands such as Papa Roach, Paramore, and Breaking Benjamin.
  • B. Michael Bentt
    Michael Bentt is a former British-American professional heavyweight boxer who briefly held the WBO world title before becoming an actor and boxing consultant in film and television.
  • C. David Blangsted
    David Blangsted was an American film and television editor known for his work on numerous prominent projects, including the 1990 miniseries "It."
  • D. David Ditzel
    David Ditzel is a computer engineer and entrepreneur best known as the founder of Transmeta and for his work on low-power, innovative microprocessor designs.
  • E. David Brisbin
    David Brisbin is an American character actor known for his supporting roles in film and television, including appearances in projects like "Fear and Loathing in Las Vegas" and "Twin Peaks."
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386ddc208190962195b8aa568bed completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.