Triple

T1323503
Position Surface form Disambiguated ID Type / Status
Subject Memoirs of an Imperfect Angel E28273 entity
Predicate producer P490 FINISHED
Object Bryan-Michael Cox E178400 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: Bryan-Michael Cox | Statement: [Memoirs of an Imperfect Angel, producer, Bryan-Michael Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan-Michael Cox
Context triple: [Memoirs of an Imperfect Angel, producer, Bryan-Michael Cox]
  • A. Bryan-Michael Cox chosen
    Bryan-Michael Cox is a Grammy-winning American songwriter and record producer known for crafting numerous R&B and pop hits for major artists.
  • B. Stephen Glenn Martin
    Stephen Glenn Martin is an American comedian, actor, writer, musician, and producer renowned for his stand-up comedy, film roles, and banjo performances.
  • C. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • D. Michael Graydon
    Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aa0ca0c8190b2d326bf39f750b0 completed March 8, 2026, 11:47 p.m.
Created at: March 1, 2026, 7:55 p.m.