Triple

T1630924
Position Surface form Disambiguated ID Type / Status
Subject Late Registration E35253 entity
Predicate featuresArtist P1952 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: [Late Registration, featuresArtist, Jamie Foxx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Foxx
Context triple: [Late Registration, featuresArtist, 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. Terrence Howard
    Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
  • C. 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."
  • D. 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.
  • E. Cuba Gooding Jr.
    Cuba Gooding Jr. is an American actor best known for his Academy Award–winning performance in "Jerry Maguire" and prominent roles in films such as "Boyz n the Hood" and "Men of Honor."
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f5ae98819091ce5e00eb4256a2 completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d79bc88190bfc62f53dd8e8b90 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.