Triple

T2929237
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Wood (2010 film) E78918 entity
Predicate originalTitle P65 FINISHED
Object ノルウェイの森 E78918 NE FINISHED

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: ノルウェイの森 | Statement: [Norwegian Wood (2010 film), originalTitle, ノルウェイの森]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ノルウェイの森
Context triple: [Norwegian Wood (2010 film), originalTitle, ノルウェイの森]
  • A. Norwegian Wood chosen
    Norwegian Wood is a 2010 Japanese film adaptation of Haruki Murakami’s novel, known for its melancholic coming-of-age story and featuring Rinko Kikuchi in a prominent role.
  • B. Cold Mountain
    Cold Mountain is a 2003 American Civil War drama film, based on Charles Frazier’s novel, known for its epic romance and acclaimed performances by Jude Law, Nicole Kidman, and Renée Zellweger.
  • C. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • D. The Bear
    The Bear is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the journey of an orphaned bear cub in the wild.
  • E. A Kind of Alaska
    A Kind of Alaska is a one-act play by Harold Pinter that explores themes of time, memory, and identity through the story of a woman awakening after decades in a coma.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98002da4819098d6448eebcafad4 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866c24c88190af6c5246b5c78c70 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:55 p.m.