Triple

T4972198
Position Surface form Disambiguated ID Type / Status
Subject V&A Dundee E111678 entity
Predicate architect P184 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: [V&A Dundee, architect, Kengo Kuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kengo Kuma
Context triple: [V&A Dundee, architect, 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. Kazuyo Sejima
    Kazuyo Sejima is a renowned Japanese architect known for her minimalist, light-filled designs and as a founding partner of the firm SANAA.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7214e18c81909db1c838a4cce78d completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81fa9108819089a6258e3a88f0cb completed March 21, 2026, 11:33 a.m.
Created at: March 20, 2026, 1:33 p.m.