Triple

T19628832
Position Surface form Disambiguated ID Type / Status
Subject The Cookout E471210 entity
Predicate stars P1956 FINISHED
Object Jenifer Lewis NE NERFINISHED

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: Jenifer Lewis | Statement: [The Cookout, stars, Jenifer Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenifer Lewis
Context triple: [The Cookout, stars, Jenifer Lewis]
  • A. Jenifer Lewis chosen
    Jenifer Lewis is an American actress, singer, and comedian known for her dynamic supporting roles in film and television, including her work in musical and family-oriented movies.
  • B. Susaye Greene
    Susaye Greene is an American singer and songwriter best known as one of the later members of the legendary Motown group The Supremes.
  • C. Sorrell Booke
    Sorrell Booke was an American character actor best known for his role as the corrupt but comically blustery Boss Hogg on the television series "The Dukes of Hazzard."
  • D. Yvette Nicole Brown
    Yvette Nicole Brown is an American actress and comedian best known for her role as Shirley Bennett on the TV series "Community" and for numerous film and television appearances.
  • E. Lonette McKee
    Lonette McKee is an American actress, singer, and songwriter best known for her roles in films like "Sparkle" and "Brewster's Millions" and for her work on stage and television.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.