Triple

T21872419
Position Surface form Disambiguated ID Type / Status
Subject Mandala E540039 entity
Predicate artist P184 FINISHED
Object Kitaro 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: Kitaro | Statement: [Mandala, artist, Kitaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitaro
Context triple: [Mandala, artist, Kitaro]
  • A. Kitaro chosen
    Kitaro is a pioneering Japanese new-age composer and multi-instrumentalist known for his atmospheric, synthesizer-based soundscapes and influential albums like the "Silk Road" series.
  • B. Kitaro
    Kitaro was a pioneering Japanese philosopher best known as the founder of the Kyoto School, which integrated Western philosophy with Eastern, especially Zen Buddhist, thought.
  • C. Yoshiki Haruhana
    Yoshiki Haruhana is a Japanese artist best known for his illustration and design work on the video game Super Mario Sunshine.
  • D. Sanshin
    Sanshin is a traditional three-stringed lute from the Ryukyu Islands, considered a central instrument in Okinawan music and culture.
  • E. Sanshin
    Sanshin is a revered mountain spirit in Korean tradition, often depicted as an old man associated with nature, protection, and local guardian deities.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f3368d488190a37224b587858ab0 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7 p.m.