Triple
T7612739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchener City Hall |
E172282
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Bruce Kuwabara |
E557594
|
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: Bruce Kuwabara | Statement: [Kitchener City Hall, architect, Bruce Kuwabara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Kuwabara Context triple: [Kitchener City Hall, architect, Bruce Kuwabara]
-
A.
Bruce Kuwabara
chosen
Bruce Kuwabara is a prominent Canadian architect and founding partner of KPMB Architects, known for his influential contributions to contemporary architecture and urban design.
-
B.
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.
-
C.
Sōsuke Uno
Sōsuke Uno was a Japanese politician of the Liberal Democratic Party who briefly served as Prime Minister of Japan in 1989 before resigning amid a financial and sex scandal.
-
D.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
E.
Daisuke
Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa23981c81908168ac0ac9add5d8 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86868dce08190b31229ff2e06fe0c |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.