Triple

T17003095
Position Surface form Disambiguated ID Type / Status
Subject Lillian Kaushtupper E412498 entity
Predicate portrayedBy P1507 FINISHED
Object Carol Kane E251200 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: Carol Kane | Statement: [Lillian Kaushtupper, portrayedBy, Carol Kane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Kane
Context triple: [Lillian Kaushtupper, portrayedBy, Carol Kane]
  • A. Carol Kane chosen
    Carol Kane is an American actress known for her distinctive voice and quirky, offbeat roles in film, television, and theater, including acclaimed performances in works like "Hester Street," "Taxi," and "The Princess Bride."
  • B. Deborah Rush
    Deborah Rush is an American actress known for her character roles in film, television, and theater, including appearances in comedies and independent productions.
  • C. Frances Miles
    Frances Miles was the mother of American rock and funk drummer and singer Buddy Miles.
  • D. Linda Purl
    Linda Purl is an American actress and singer best known for her roles on television series such as "Happy Days," "Matlock," and "The Office."
  • E. Debbi Morgan
    Debbi Morgan is an American actress best known for her Emmy-winning role as Angie Hubbard on the soap opera "All My Children" and for her work in film and television spanning several decades.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673e1be08190b39c38fd8115a02c completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:32 a.m.