Triple

T16938361
Position Surface form Disambiguated ID Type / Status
Subject Jacqueline White E410882 entity
Predicate portrayedBy P1507 FINISHED
Object Jane Krakowski E227332 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: Jane Krakowski | Statement: [Jacqueline White, portrayedBy, Jane Krakowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Krakowski
Context triple: [Jacqueline White, portrayedBy, Jane Krakowski]
  • A. Jane Krakowski chosen
    Jane Krakowski is an American actress and singer best known for her comedic television roles, including her portrayal of Jenna Maroney on the sitcom 30 Rock.
  • B. Edie Mirman
    Edie Mirman is an American voice actress known for her work in animation and dubbing, including roles in popular films and television series.
  • C. Kathryn Hahn
    Kathryn Hahn is an American actress and comedian known for her versatile roles in film and television, including prominent work in comedies and voice acting.
  • D. Daphne Rubin-Vega
    Daphne Rubin-Vega is a Panamanian-American actress and singer best known for originating the role of Mimi Márquez in the groundbreaking Broadway musical Rent.
  • E. Patti Murin
    Patti Murin is an American actress and singer best known for originating the role of Anna in the Broadway musical adaptation of Disney’s Frozen.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2b88bc8190aeb7b07032478ae3 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe5210c8190873be6ccf2369b34 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.