Triple
T14084882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirota Kōki |
E338965
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 広田 弘毅 |
E693800
|
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: 広田 弘毅 | Statement: [Hirota Kōki, nativeName, 広田 弘毅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 広田 弘毅 Context triple: [Hirota Kōki, nativeName, 広田 弘毅]
-
A.
広田 弘毅
chosen
広田 弘毅 was a Japanese diplomat and politician who served as Prime Minister in the 1930s and was later executed as a Class A war criminal after World War II.
-
B.
吉田遠志
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
-
C.
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.
-
D.
松岡 洋右
松岡 洋右 was a prominent pre-World War II Japanese diplomat and politician who served as foreign minister and was a key figure in Japan’s alliance with Nazi Germany and Fascist Italy.
-
E.
斎藤秀雄
斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5edff1b881909ea56dc2429ef2dd |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb676620481908ed2fa5687a21866 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.