Triple

T17069984
Position Surface form Disambiguated ID Type / Status
Subject Silicon Valley (TV series) E414189 entity
Predicate portrayedBy P1507 FINISHED
Object Suzanne Cryer 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: Suzanne Cryer | Statement: [Silicon Valley (TV series), portrayedBy, Suzanne Cryer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzanne Cryer
Context triple: [Silicon Valley (TV series), portrayedBy, Suzanne Cryer]
  • A. Suzanne Cryer chosen
    Suzanne Cryer is an American actress best known for her comedic television roles, including a prominent part on the sitcom "Two Guys, a Girl and a Pizza Place."
  • B. Nancy Kyes
    Nancy Kyes is an American actress best known for her roles in John Carpenter films, including the original Halloween and Assault on Precinct 13.
  • C. Gaynor Faye
    Gaynor Faye is a British actress and writer best known for her roles in popular UK television dramas and soaps such as Coronation Street and Emmerdale.
  • D. Lorraine Kirke
    Lorraine Kirke is a British-born New York boutique owner and costume designer known for her bohemian fashion aesthetic and as the mother of actress Jemima Kirke.
  • E. Judi Farr
    Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbfb1f08190807301ff6e573cf5 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:34 a.m.