Triple

T10007476
Position Surface form Disambiguated ID Type / Status
Subject Waitress (musical) E198288 entity
Predicate notableCastMember P7010 FINISHED
Object Kimiko Glenn E390838 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: Kimiko Glenn | Statement: [Waitress (musical), notableCastMember, Kimiko Glenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimiko Glenn
Context triple: [Waitress (musical), notableCastMember, Kimiko Glenn]
  • A. Kimiko Glenn chosen
    Kimiko Glenn is an American actress and singer known for her roles in "Orange Is the New Black," various stage productions, and voice work in animated films and series.
  • B. Celeste Van Dien
    Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
  • C. Robin Ruzan
    Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
  • D. Maya Van Dien
    Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
  • E. Beth Riesgraf
    Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb8b92b0819081e5ac52e2f4f27e completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:52 p.m.