Triple

T22840440
Position Surface form Disambiguated ID Type / Status
Subject To the Bone E566064 entity
Predicate starring P1507 FINISHED
Object Leslie Bibb 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: Leslie Bibb | Statement: [To the Bone, starring, Leslie Bibb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Bibb
Context triple: [To the Bone, starring, Leslie Bibb]
  • A. Leslie Bibb chosen
    Leslie Bibb is an American actress and model known for her comedic and dramatic roles in film and television, including prominent parts in movies like "Iron Man" and series such as "Popular."
  • B. Samantha Womack
    Samantha Womack is a British actress and singer best known for her long-running role as Ronnie Mitchell in the BBC soap opera EastEnders.
  • C. Leslie Lewis
    Leslie Lewis is the daughter of pioneering African-American businessman and philanthropist Reginald F. Lewis.
  • D. Ruthie Ann Miles
    Ruthie Ann Miles is a Tony Award–winning American actress and singer known for her work in musical theatre, television, and film.
  • E. Sandra Harmon
    Sandra Harmon is an American writer and collaborator known for co-authoring books with high-profile figures, including Priscilla Presley.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.