Triple
T6068501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasuhisa Toyota |
E135219
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
豊田泰久
豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
|
E567511
|
NE FINISHED |
How this triple was built (4 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: 豊田泰久 | Statement: [Yasuhisa Toyota, nativeName, 豊田泰久]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 豊田泰久 Context triple: [Yasuhisa Toyota, nativeName, 豊田泰久]
-
A.
Shigeru Fukudome
Shigeru Fukudome was a senior admiral in the Imperial Japanese Navy who held key staff and command positions during World War II.
-
B.
岡田啓介
岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
-
C.
Makino Nobuaki
Makino Nobuaki was a Japanese diplomat and statesman who played a key role in Japan’s foreign policy during the late Meiji and Taishō periods, including its participation in the Paris Peace Conference and the early League of Nations era.
-
D.
Takeshi Hamano
Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
-
E.
Motohiro Ōno
Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 豊田泰久 Triple: [Yasuhisa Toyota, nativeName, 豊田泰久]
Generated description
豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 豊田泰久 Target entity description: 豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
-
A.
Shigeru Fukudome
Shigeru Fukudome was a senior admiral in the Imperial Japanese Navy who held key staff and command positions during World War II.
-
B.
岡田啓介
岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
-
C.
Makino Nobuaki
Makino Nobuaki was a Japanese diplomat and statesman who played a key role in Japan’s foreign policy during the late Meiji and Taishō periods, including its participation in the Paris Peace Conference and the early League of Nations era.
-
D.
Takeshi Hamano
Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
-
E.
Motohiro Ōno
Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
- F. None of above. chosen
Provenance (5 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057403a8081908b593472fcc0d699 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d2f43a88190a7a6834a7624998d |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11e72a25481908ca18e71d69ce449 |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1223a5800819097c34eabf968e87e |
completed | March 23, 2026, 11:21 a.m. |
Created at: March 22, 2026, 4:10 p.m.