Triple

T16389040
Position Surface form Disambiguated ID Type / Status
Subject BET Honors E397998 entity
Predicate notableHonoree P3737 FINISHED
Object Jamie Foxx E65304 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: Jamie Foxx | Statement: [BET Honors, notableHonoree, Jamie Foxx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Foxx
Context triple: [BET Honors, notableHonoree, Jamie Foxx]
  • A. Jamie Foxx chosen
    Jamie Foxx is an American actor, comedian, and R&B singer known for his Academy Award–winning portrayal of Ray Charles and his versatile work in film, television, and music.
  • B. J. B. Smoove
    J. B. Smoove is an American comedian, actor, and writer best known for his energetic, improvisational style and his role as Leon Black on the HBO series "Curb Your Enthusiasm."
  • C. Terrence Howard
    Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
  • D. Morris Lamont Chestnut
    Morris Lamont Chestnut is an American actor best known for his roles in films like "Boyz n the Hood" and "The Best Man" series, as well as numerous television dramas.
  • E. Taye Diggs
    Taye Diggs is an American actor and singer known for his roles in Broadway musicals like "Rent" and films such as "How Stella Got Her Groove Back" and "The Best Man."
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263f18988190800b921381d60c1b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.