Triple

T10049063
Position Surface form Disambiguated ID Type / Status
Subject Mike City E207692 entity
Predicate hasCollaboratedWith P8554 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: [Mike City, hasCollaboratedWith, Jamie Foxx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Foxx
Context triple: [Mike City, hasCollaboratedWith, 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8cf4f0819084d831e1986790be completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2823e63488190bef7633b1a755df8 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:56 p.m.