Triple

T6380313
Position Surface form Disambiguated ID Type / Status
Subject Abraxas E143562 entity
Predicate includesCompositionBy P56991 FINISHED
Object David Brown E81858 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: David Brown | Statement: [Abraxas, includesCompositionBy, David Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Brown
Context triple: [Abraxas, includesCompositionBy, David Brown]
  • A. David Brown chosen
    David Brown was an American film producer best known for co-producing blockbuster hits such as "Jaws" and "The Sting."
  • B. David Brown
    David Brown is a film producer and entrepreneur best known for co-founding the animation company Blue Sky Studios, which created popular computer-animated films such as the Ice Age series.
  • C. David Brown
    David Brown was a British industrialist and owner of Aston Martin whose initials were used to designate the company’s iconic “DB” series of sports cars.
  • D. Donald Brown
    Donald Brown is a fictional character from the novel and film "National Velvet," known as one of Velvet Brown’s brothers in the Brown family.
  • E. Karl Brown
    Karl Brown was an early American cinematographer and filmmaker known for his pioneering work in the motion picture industry and involvement in establishing professional standards for cinematography.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63874aba88190a543f21e968fbc06 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:33 p.m.