Triple

T21800632
Position Surface form Disambiguated ID Type / Status
Subject Kōbō Abe E538228 entity
Predicate influenced P9 FINISHED
Object Haruki Murakami 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: Haruki Murakami | Statement: [Kōbō Abe, influenced, Haruki Murakami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haruki Murakami
Context triple: [Kōbō Abe, influenced, 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. Murakami
    Murakami is a coastal city in northern Niigata Prefecture, Japan, known for its historic streets, salmon cuisine, and scenic views of the Sea of Japan.
  • C. 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.
  • D. Genichi Kawakami
    Genichi Kawakami was a Japanese industrialist and executive best known for transforming Yamaha from a musical instrument maker into a global powerhouse in motorcycles and motorized products.
  • E. 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.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f077fede848190b8fe07941d6573d9 completed April 28, 2026, 9:03 a.m.
Created at: April 16, 2026, 6:53 p.m.