Triple
T6274782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyo Obata |
E140628
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gyo Obata |
E140628
|
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: 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.
Yukio Edano
Yukio Edano is a Japanese politician and former Chief Cabinet Secretary who became a prominent opposition leader as the head of the Constitutional Democratic Party of Japan.
-
C.
Shintaro Fujinami
Shintaro Fujinami is a Japanese professional baseball pitcher known for his power arm and early stardom in Nippon Professional Baseball before moving to Major League Baseball.
-
D.
Kiyoshi Kimura
Kiyoshi Kimura was a Japanese military officer who commanded Imperial Japanese forces during World War II, notably in the Pacific theater.
-
E.
Yosuke Kubozuka
Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063c0629c8190805ddf1a604e9ca4 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7421871888190aab99c6c5f6c147d |
completed | March 28, 2026, 2:51 a.m. |
Created at: March 22, 2026, 4:25 p.m.