Triple
T3471192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koiso Kuniaki |
E73261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Koiso |
E73261
|
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: Koiso | Statement: [Koiso Kuniaki, familyName, Koiso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koiso Context triple: [Koiso Kuniaki, familyName, Koiso]
-
A.
Taro Kono
Taro Kono is a prominent Japanese politician and Liberal Democratic Party member known for serving in key cabinet posts such as foreign minister and defense minister and for his reformist, media-savvy profile.
-
B.
Inazo
Inazo is a Japanese given name most famously borne by Inazo Nitobe, a prominent educator, diplomat, and author of "Bushido: The Soul of Japan."
-
C.
Koiso Kuniaki
chosen
Koiso Kuniaki was a Japanese general and politician who served as Prime Minister of Japan during World War II and played a key role in Japan’s wartime administration.
-
D.
Takeo Doi
Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
-
E.
Johnson Toribiong
Johnson Toribiong is a Palauan politician and lawyer who served as the President of Palau in the early 2010s.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680dd2c48190a06c5c320a06a71a |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.