Triple
T13139564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 植木枝盛 |
E312175
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object | 植木 枝盛 |
E312175
|
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: 植木 枝盛 | Statement: [植木枝盛, 別名, 植木 枝盛]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 植木 枝盛 Context triple: [植木枝盛, 別名, 植木 枝盛]
-
A.
植木枝盛
chosen
植木枝盛 was a prominent Meiji-era Japanese political activist, journalist, and theorist of popular rights who strongly advocated constitutional government and civil liberties.
-
B.
坂 茂
坂 茂 is a renowned Japanese architect celebrated for his innovative use of paper and recyclable materials in humanitarian and disaster-relief structures.
-
C.
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.
-
D.
嶋田繁太郎
嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
-
E.
檜山 修之
檜山 修之 is a Japanese voice actor known for his energetic and passionate performances in numerous anime, video games, and tokusatsu series.
- 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_69d981b6a4348190b9922ed255759078 |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae2c3848190b062fa8da7dc8a92 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:09 p.m.