Triple
T5569102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyo Ito |
E145952
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Toyo Ito |
E145952
|
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: Toyo Ito | Statement: [Toyo Ito, name, Toyo Ito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyo Ito Context triple: [Toyo Ito, name, Toyo Ito]
-
A.
Toyo Ito
chosen
Toyo Ito is a renowned Japanese architect celebrated for his innovative, fluid designs that blend technology, nature, and urban life.
-
B.
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.
-
C.
Arata Isozaki
Arata Isozaki is a renowned Japanese architect known for his influential and eclectic postmodern designs that bridge Eastern and Western architectural traditions.
-
D.
Fumihiko Maki
Fumihiko Maki is a renowned Japanese architect known for his modernist designs and thoughtful integration of technology, urban context, and public space.
-
E.
Shigeru Ban
Shigeru Ban is a Japanese architect renowned for his innovative use of materials like paper and cardboard and for designing socially conscious, disaster-relief structures as well as major cultural buildings worldwide.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203789688190a0bab723186214ad |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d177d18819090018371d22c66a3 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:36 p.m.