Triple

T21095741
Position Surface form Disambiguated ID Type / Status
Subject Waterloo Road E519760 entity
Predicate hasMainCharacter P1183 FINISHED
Object Karen Fisher 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: Karen Fisher | Statement: [Waterloo Road, hasMainCharacter, Karen Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Fisher
Context triple: [Waterloo Road, hasMainCharacter, Karen Fisher]
  • A. Karen Fisher chosen
    Karen Fisher is a fictional character from the British television drama series "Waterloo Road," known for her role as a headteacher and central figure in several key storylines.
  • B. Diane Venora
    Diane Venora is an American actress known for her intense, versatile performances in film, television, and theater, including prominent roles in works like "Heat" and "Romeo + Juliet."
  • C. Karen David
    Karen David is a British-Canadian actress and singer known for her roles in film and television, including fantasy and adventure projects.
  • D. Karen Kain
    Karen Kain is a renowned Canadian ballerina and arts leader, celebrated as one of the National Ballet of Canada’s most iconic performers and later its artistic director.
  • E. Molly Quinn
    Molly Quinn is an American actress best known for her role as Alexis Castle on the TV series "Castle" and for supporting film roles including an appearance in the comedy "We're the Millers."
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.