Triple

T19504949
Position Surface form Disambiguated ID Type / Status
Subject Russian Doll E487997 entity
Predicate productionCompany P490 FINISHED
Object Paper Kite Productions 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: Paper Kite Productions | Statement: [Russian Doll, productionCompany, Paper Kite Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paper Kite Productions
Context triple: [Russian Doll, productionCompany, Paper Kite Productions]
  • A. Paper Kite Productions chosen
    Paper Kite Productions is a television and film production company founded by comedian and actress Amy Poehler, known for creating and producing various comedy series and projects.
  • B. Paper Plane Productions
    Paper Plane Productions is a television production company known for producing the Iranian TV series "Tehran."
  • C. Paper Clip Productions
    Paper Clip Productions is a film and television production company known for its work on projects such as the movie "Back to School."
  • D. Rectangle Productions
    Rectangle Productions is a French film production company known for backing auteur-driven and often provocative cinema, including Gaspar Noé’s 2018 film "Climax."
  • E. Flypaper Press
    Flypaper Press is an independent comic book publisher best known for releasing the graphic novel "Bulletproof Monk."
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635113fdc819098ea0f738d01925c completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.