Triple

T12361133
Position Surface form Disambiguated ID Type / Status
Subject Dangerous Liaisons E294738 entity
Predicate starring P1507 FINISHED
Object Swoosie Kurtz E161163 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: Swoosie Kurtz | Statement: [Dangerous Liaisons, starring, Swoosie Kurtz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swoosie Kurtz
Context triple: [Dangerous Liaisons, starring, Swoosie Kurtz]
  • A. Swoosie Kurtz chosen
    Swoosie Kurtz is an American actress known for her work on stage, film, and television, including acclaimed performances in "Sisters," "Pushing Daisies," and numerous Broadway productions.
  • B. Teri Hudson
    Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
  • C. Gretchen Morgan
    Gretchen Morgan is a ruthless and resourceful antagonist in the TV series "Prison Break," known for her role as a high-ranking operative within the shadowy organization known as the Company.
  • D. Joanna Kerns
    Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
  • E. Betsy Rue
    Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f91a1908190a8a4fa9da3b47933 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634721e948190bb8e97ef677b9f59 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.