Triple

T23183553
Position Surface form Disambiguated ID Type / Status
Subject Gyo Obata E579524 entity
Predicate name P16 FINISHED
Object Gyo Obata 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: Gyo Obata | Statement: [Gyo Obata, name, Gyo Obata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyo Obata
Context triple: [Gyo Obata, name, Gyo Obata]
  • A. Gyo Obata chosen
    Gyo Obata was a prominent American architect and co-founder of the firm HOK, known for designing major cultural, civic, and religious landmarks around the world.
  • B. Seibou Kitamura
    Seibou Kitamura was a Japanese sculptor best known for creating the iconic Peace Statue in Nagasaki, commemorating the victims of the atomic bombing.
  • C. Kiyoshi Yamashita
    Kiyoshi Yamashita was a Japanese outsider artist famed for his intricate chigiri-e (torn-paper collage) works and his itinerant, vagabond lifestyle.
  • D. Kazuo Watanabe
    Kazuo Watanabe is a Japanese physicist and academic known for mentoring Sumio Iijima, the pioneering nanotechnology researcher who discovered carbon nanotubes.
  • E. Yukio Okamoto
    Yukio Okamoto was a prominent Japanese diplomat and political analyst known for his advisory roles to multiple Japanese prime ministers on foreign and security policy.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f717d248190b2736b0789981fb2 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.