Triple

T5160087
Position Surface form Disambiguated ID Type / Status
Subject Theater of the Mind E116413 entity
Predicate hasGuestArtist P10644 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: [Theater of the Mind, hasGuestArtist, Jamie Foxx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Foxx
Context triple: [Theater of the Mind, hasGuestArtist, 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. 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."
  • E. Joseph LaShelle
    Joseph LaShelle was an American cinematographer renowned for his work on numerous classic Hollywood films and for winning an Academy Award for Best 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd790613bc819084765cd4ea648dc9 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01ce48081908813348b762bf1b0 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.