Triple

T12373528
Position Surface form Disambiguated ID Type / Status
Subject Scherrie Payne E295061 entity
Predicate associatedAct P37 FINISHED
Object Susaye Greene E293111 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: Susaye Greene | Statement: [Scherrie Payne, associatedAct, Susaye Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susaye Greene
Context triple: [Scherrie Payne, associatedAct, Susaye Greene]
  • A. Susaye Greene chosen
    Susaye Greene is an American singer and songwriter best known as one of the later members of the legendary Motown group The Supremes.
  • B. Jenifer Lewis
    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.
  • C. Salli Richardson
    Salli Richardson is an American actress and director known for her work in film and television, including prominent roles in series like "Eureka" and "Stitchers."
  • D. S. Epatha Merkerson
    S. Epatha Merkerson is an American actress best known for her long-running role as Lieutenant Anita Van Buren on the television series "Law & Order."
  • 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 (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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac1e82c8190abb46ca5799e6680 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.