Triple
T8034859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōjun Kōgō |
E187079
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kōjun Kōgō |
E187079
|
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: Kōjun Kōgō | Statement: [Kōjun Kōgō, name, Kōjun Kōgō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōjun Kōgō Context triple: [Kōjun Kōgō, name, Kōjun Kōgō]
-
A.
Kōjun Kōgō
chosen
Kōjun Kōgō was the Empress consort of Japan as the wife of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito.
-
B.
Yasuhiko
Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
-
C.
Noda Kōichi
Noda Kōichi is a Japanese architect best known for creating the iconic Kobe Port Tower, a landmark of Kobe’s waterfront skyline.
-
D.
Yokoi Shōnan
Yokoi Shōnan was a late Edo and early Meiji-era Japanese political thinker and reformist samurai known for advocating Western-style modernization and national strengthening.
-
E.
Mutaguchi Renya
Mutaguchi Renya was a Japanese general best known for commanding the ill-fated Imphal offensive in Burma during World War II.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef50f4c8190a895ac301f182734 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe4211bc8190a784c19f11f17a39 |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:22 p.m.