Triple

T20701656
Position Surface form Disambiguated ID Type / Status
Subject Addicted to Fresno E508797 entity
Predicate castMember P1668 FINISHED
Object Natasha Lyonne 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: Natasha Lyonne | Statement: [Addicted to Fresno, castMember, Natasha Lyonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natasha Lyonne
Context triple: [Addicted to Fresno, castMember, Natasha Lyonne]
  • A. Natasha Lyonne chosen
    Natasha Lyonne is an American actress, writer, and director known for her distinctive raspy voice and roles in projects like Russian Doll, the American Pie films, and various acclaimed independent movies.
  • B. Kat Dennings
    Kat Dennings is an American actress best known for her roles in the sitcom "2 Broke Girls" and films such as "Nick and Norah's Infinite Playlist" and the Marvel "Thor" series.
  • C. Ellie Kemper
    Ellie Kemper is an American actress and comedian best known for her roles in the sitcoms "The Office" and "Unbreakable Kimmy Schmidt."
  • D. Caitlin O’Hara
    Caitlin O’Hara is a child psychologist and the protagonist of the science fiction thriller novel *A Vision of Fire* by Gillian Anderson and Jeff Rovin.
  • E. Alison Brie
    Alison Brie is an American actress known for her roles in television series like "Community" and "Mad Men," as well as her voice work in animated films.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18bfac08190bf80beeb3ce1951a completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.