Triple

T7499348
Position Surface form Disambiguated ID Type / Status
Subject Glass E177218 entity
Predicate stars P1956 FINISHED
Object Charlayne Woodard E330975 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: Charlayne Woodard | Statement: [Glass, stars, Charlayne Woodard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlayne Woodard
Context triple: [Glass, stars, Charlayne Woodard]
  • A. Charlayne Woodard chosen
    Charlayne Woodard is an American actress and playwright known for her work on stage, film, and television, including roles in projects like "Unbreakable" and "Pose."
  • 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. 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.
  • D. 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.
  • E. Sherie Rene Scott
    Sherie Rene Scott is a Tony-nominated American actress and singer known for her work in numerous Broadway productions and original musical roles.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f597a0c08190b34fa283a11d98c7 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84608021481908ce58a131d75188b completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:44 p.m.