Triple

T12697517
Position Surface form Disambiguated ID Type / Status
Subject Kibō no Tō E303373 entity
Predicate notableMember P10 FINISHED
Object Kenta Izumi 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: Kenta Izumi | Statement: [Kibō no Tō, notableMember, Kenta Izumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenta Izumi
Context triple: [Kibō no Tō, notableMember, Kenta Izumi]
  • A. Kenta Izumi chosen
    Kenta Izumi is a Japanese politician who serves as the leader of the main opposition force, the Constitutional Democratic Party of Japan.
  • B. Kenta Motokura
    Kenta Motokura is a Japanese video game artist and director at Nintendo, best known for his creative work on major Super Mario titles.
  • C. Takumi Hiroshi
    Takumi Hiroshi was an Imperial Japanese Army officer who led forces during the Malayan Campaign of World War II, notably in the early stages of Japan’s advance toward Singapore.
  • D. Kenta Nagata
    Kenta Nagata is a Japanese video game composer best known for his work on Nintendo titles, particularly in the Mario Kart and The Legend of Zelda series.
  • E. Yusuke Nakamura
    Yusuke Nakamura is a Japanese illustrator and graphic designer renowned for his distinctive, colorful artwork used in album covers, book jackets, and anime-related projects.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
Created at: April 9, 2026, 5:22 p.m.