Triple

T15919095
Position Surface form Disambiguated ID Type / Status
Subject Kengo Kuma and Associates E386045 entity
Predicate leader P981 FINISHED
Object Kengo Kuma E386044 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: Kengo Kuma | Statement: [Kengo Kuma and Associates, leader, Kengo Kuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kengo Kuma
Context triple: [Kengo Kuma and Associates, leader, Kengo Kuma]
  • A. Kengo Kuma chosen
    Kengo Kuma is a renowned Japanese architect known for his innovative use of natural materials and harmonious integration of buildings with their surrounding environments.
  • B. Tadao Kashio
    Tadao Kashio was a Japanese engineer and entrepreneur best known for co-founding Casio and pioneering innovative electronic calculators and consumer electronics.
  • C. Kazuyo Kawashima
    Kazuyo Kawashima is a Japanese woman best known as the mother of Princess Kiko, a member of Japan’s Imperial Family.
  • D. Toyo Ito
    Toyo Ito is a renowned Japanese architect celebrated for his innovative, fluid designs that blend technology, nature, and urban life.
  • E. Nendo
    Nendo is the largest island in the Santa Cruz Islands of the Solomon Islands, located in Temotu Province in the southwestern Pacific Ocean.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1567ff9e48190b73cb101fc3f7b2b completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6e844481908227ec9e46ac9f4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.