Triple

T8450403
Position Surface form Disambiguated ID Type / Status
Subject Sorry to Bother You E199784 entity
Predicate starring P1507 FINISHED
Object Lakeith Stanfield E272614 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: Lakeith Stanfield | Statement: [Sorry to Bother You, starring, Lakeith Stanfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeith Stanfield
Context triple: [Sorry to Bother You, starring, Lakeith Stanfield]
  • A. Lakeith Stanfield chosen
    Lakeith Stanfield is an American actor known for his versatile performances in films like "Sorry to Bother You," "Judas and the Black Messiah," and the TV series "Atlanta."
  • B. Jazz Smollett
    Jazz Smollett is an American actress and producer known for her work in film and television and as a member of the Smollett entertainment family.
  • C. Aldis Hodge
    Aldis Hodge is an American actor known for his versatile film and television roles, including prominent performances in projects like "Leverage," "One Night in Miami...," and "Black Adam."
  • D. Tyler Mitchell
    Tyler Mitchell is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
  • E. Jeremy Jordan
    Jeremy Jordan is an American actor and singer best known for his work on Broadway and in television musicals such as the series "Smash."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.