Triple
T12887501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshihiko Izutsu |
E308266
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
井筒俊彦
井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
|
E1008764
|
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: 井筒俊彦 | Statement: [Toshihiko Izutsu, nativeName, 井筒俊彦]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 井筒俊彦 Context triple: [Toshihiko Izutsu, nativeName, 井筒俊彦]
-
A.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
B.
井深大
井深大は、ソニー株式会社の共同創業者として知られる日本の実業家・技術者です。
-
C.
杉本博司
杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
-
D.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
E.
佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
- 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: 井筒俊彦 Triple: [Toshihiko Izutsu, nativeName, 井筒俊彦]
Generated description
井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 井筒俊彦 Target entity description: 井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
-
A.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
B.
井深大
井深大は、ソニー株式会社の共同創業者として知られる日本の実業家・技術者です。
-
C.
杉本博司
杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
-
D.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
E.
佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714415c08190aa9944b494a3ddad |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5576ae4819084914697b2e86d9f |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a641d1988190b9af41c8c7ca599e |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a77ba20081908f72f46f64382fca |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:39 p.m.