Triple
T2832004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resident-General of Korea |
E62259
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
Sone Arasuke
Sone Arasuke was a Japanese statesman and diplomat who played a key role in Japan’s imperial expansion in East Asia during the late Meiji period.
|
E302154
|
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: Sone Arasuke | Statement: [Resident-General of Korea, officeHolder, Sone Arasuke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sone Arasuke Context triple: [Resident-General of Korea, officeHolder, Sone Arasuke]
-
A.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
B.
Nishi Amane
Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
-
C.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
D.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
E.
Hatsuzuki
Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
- 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: Sone Arasuke Triple: [Resident-General of Korea, officeHolder, Sone Arasuke]
Generated description
Sone Arasuke was a Japanese statesman and diplomat who played a key role in Japan’s imperial expansion in East Asia during the late Meiji period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sone Arasuke Target entity description: Sone Arasuke was a Japanese statesman and diplomat who played a key role in Japan’s imperial expansion in East Asia during the late Meiji period.
-
A.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
B.
Nishi Amane
Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
-
C.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
D.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
E.
Hatsuzuki
Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb856d8819082d79b08433fe6d8 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf6ded208190a9315d1130dd0cbe |
completed | March 10, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd0219b34819095bc98ba28ca97f5 |
completed | March 10, 2026, 8:02 a.m. |
Created at: March 6, 2026, 10:01 p.m.