Triple

T17896254
Position Surface form Disambiguated ID Type / Status
Subject Curb Your Enthusiasm E447438 entity
Predicate productionCompany P490 FINISHED
Object Production Partners 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: Production Partners | Statement: [Curb Your Enthusiasm, productionCompany, Production Partners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Production Partners
Context triple: [Curb Your Enthusiasm, productionCompany, Production Partners]
  • A. Production Partners chosen
    Production Partners is a television production company best known for its work on the acclaimed HBO comedy series "Curb Your Enthusiasm."
  • B. Participant Productions
    Participant Productions is a film production company known for creating socially conscious, issue-driven movies and documentaries.
  • C. Parti Productions
    Parti Productions is a television production company known for producing the British drama film "The Boy with the Topknot."
  • D. Partners
    Partners is a short-lived American sitcom starring Kelsey Grammer that aired in the 2010s.
  • E. Entertainment Partners Ltd.
    Entertainment Partners Ltd. is a British film and television production company known for its involvement in various UK-based screen projects.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8045748190a4e8c4684439a96b completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.