Triple
T13157051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakae Chōmin |
E312616
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 中江 兆民 |
E312614
|
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: 中江 兆民 | Statement: [Nakae Chōmin, nativeName, 中江 兆民]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中江 兆民 Context triple: [Nakae Chōmin, nativeName, 中江 兆民]
-
A.
中江兆民
chosen
中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
-
B.
中村
中村 is a common Japanese surname and place name, typically written with characters meaning "middle" and "village."
-
C.
梅津 美治郎
梅津美治郎 was a Japanese general who served as the last Chief of the Army General Staff during World War II and played a central role in Japan’s wartime military leadership.
-
D.
桂川
桂川は、京都市内を流れ嵐山の景観で知られる日本の代表的な河川の一つです。
-
E.
米内光政
米内光政は、昭和期の日本で海軍大臣や内閣総理大臣を務め、日中戦争・太平洋戦争期の海軍指導者として知られる政治家・海軍軍人である。
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c084028819093bc4e94d53b4f17 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf06f408190949f9ed5e899815b |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.