Triple

T18220875
Position Surface form Disambiguated ID Type / Status
Subject Night Court (2023 revival) E436299 entity
Predicate leadActor P1507 FINISHED
Object Melissa Rauch 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: Melissa Rauch | Statement: [Night Court (2023 revival), leadActor, Melissa Rauch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Rauch
Context triple: [Night Court (2023 revival), leadActor, Melissa Rauch]
  • A. Melissa Rauch chosen
    Melissa Rauch is an American actress and comedian best known for playing microbiologist Bernadette Rostenkowski-Wolowitz on the hit sitcom "The Big Bang Theory."
  • B. Gillian Jacobs
    Gillian Jacobs is an American actress best known for playing Britta Perry on the television sitcom "Community."
  • C. Judy Greer
    Judy Greer is an American actress known for her versatile supporting roles in film and television, including appearances in major franchises like the Marvel Cinematic Universe.
  • D. Kathryn Hahn
    Kathryn Hahn is an American actress and comedian known for her versatile roles in film and television, including prominent work in comedies and voice acting.
  • E. Natasha Lyonne
    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.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47b5bfc819085c5935c08361ba9 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.