Triple

T21282284
Position Surface form Disambiguated ID Type / Status
Subject Justice League: Warworld E524554 entity
Predicate featuresVoiceActor P39669 FINISHED
Object Brian Bloom 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: Brian Bloom | Statement: [Justice League: Warworld, featuresVoiceActor, Brian Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Bloom
Context triple: [Justice League: Warworld, featuresVoiceActor, Brian Bloom]
  • A. Brian Bloom chosen
    Brian Bloom is an American actor and screenwriter known for his work in film, television, and video games, including co-writing and appearing in the 2010 adaptation of The A-Team.
  • B. Eric Bloom
    Eric Bloom is an American singer and musician best known as the longtime lead vocalist and guitarist for the rock band Blue Öyster Cult.
  • C. Ron Bloom
    Ron Bloom is an American investment banker and former Obama administration official known for his role in restructuring the U.S. auto industry and advising on industrial and labor policy.
  • D. Brian Blume
    Brian Blume was an early game designer and executive at TSR who played a key role in the development and expansion of Dungeons & Dragons.
  • E. Steve Bloom
    Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d249fc8190b0b310467ddeac3c completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.