Triple

T2929204
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Wood (2010 film) E78918 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Haruki Murakami E97620 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: Haruki Murakami | Statement: [Norwegian Wood (2010 film), basedOnWorkBy, Haruki Murakami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haruki Murakami
Context triple: [Norwegian Wood (2010 film), basedOnWorkBy, Haruki Murakami]
  • A. Haruki Murakami chosen
    Haruki Murakami is a renowned contemporary Japanese novelist known for his surreal, introspective narratives that blend magical realism, pop culture, and themes of alienation.
  • B. Hikari Ōe
    Hikari Ōe is a Japanese composer known for his classical music works and as the son of Nobel Prize–winning author Kenzaburō Ōe.
  • C. Kawabe Masakazu
    Kawabe Masakazu was a Japanese general in the Imperial Japanese Army during World War II, known for leading major operations in the Burma campaign against Allied forces.
  • D. Glen Murakami
    Glen Murakami is an American animator, character designer, and producer best known for his influential work on DC Comics–based animated series such as Teen Titans and Batman Beyond.
  • E. Kenzaburō Ōe
    Kenzaburō Ōe was a Japanese novelist and Nobel Prize in Literature laureate known for his profound, politically engaged works exploring postwar Japanese society and personal trauma.
  • 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_69b0fc67bea881908bfd8122e2a632f8 completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:55 p.m.