Triple

T7872289
Position Surface form Disambiguated ID Type / Status
Subject Cheryl Hines E182765 entity
Predicate name P16 FINISHED
Object Cheryl Hines E182765 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: Cheryl Hines | Statement: [Cheryl Hines, name, Cheryl Hines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheryl Hines
Context triple: [Cheryl Hines, name, Cheryl Hines]
  • A. Cheryl Hines chosen
    Cheryl Hines is an American actress and director best known for her role as Larry David’s wife, Cheryl, on the HBO series "Curb Your Enthusiasm."
  • B. Ruthie Henshall
    Ruthie Henshall is an acclaimed British musical theatre actress and singer known for her leading roles in major West End and Broadway productions.
  • C. Miriam Margolyes
    Miriam Margolyes is a British-Australian actress and voice artist known for her character roles in film, television, and theatre, including appearances in the Harry Potter series and numerous acclaimed stage productions.
  • D. Joanna Lumley
    Joanna Lumley is a British actress, presenter, and former model best known for her iconic role as Patsy Stone in the television series "Absolutely Fabulous."
  • E. Hermione Norris
    Hermione Norris is an English actress best known for her roles in television dramas such as "Cold Feet," "Spooks," and "Wire in the Blood."
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b72cec08190ac8ea1d9676b68ce completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:56 p.m.