Triple
T14066861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroshi Hara |
E338497
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 原広司 |
E950743
|
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: 原広司 | Statement: [Hiroshi Hara, nativeName, 原広司]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 原広司 Context triple: [Hiroshi Hara, nativeName, 原広司]
-
A.
原広司
chosen
原広司は、日本のポストモダン建築を代表し、梅田スカイビルなど独創的な都市建築で知られる建築家です。
-
B.
Kōji Yakusho
Kōji Yakusho is an acclaimed Japanese actor known for his versatile performances in both domestic cinema and international films such as "Shall We Dance?" and "13 Assassins."
-
C.
黒川紀章
黒川紀章は、日本のメタボリズム運動を代表する建築家であり、国立新美術館や中銀カプセルタワービルなどで知られる。
-
D.
Yuya Nakamura
Yuya Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nakamura, likely in fields such as sports, entertainment, or the arts.
-
E.
Isao Aoki
Isao Aoki is a pioneering Japanese professional golfer renowned for his success on both the Japan Golf Tour and international tours, including being one of the first Japanese players to win on the PGA Tour.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66aeff8819088239226bbe25fd5 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.