Triple

T7890661
Position Surface form Disambiguated ID Type / Status
Subject Tanizaki Prize E183223 entity
Predicate hasAwarded P2391 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: [Tanizaki Prize, hasAwarded, Haruki Murakami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haruki Murakami
Context triple: [Tanizaki Prize, hasAwarded, 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. 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.
  • D. 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.
  • E. 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.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ee137081908e87e35016c3a176 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b9f47cc8190a6f9fc087010ad96 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5 p.m.