Triple
T13657377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊東祐亨 |
E326896
|
entity |
| Predicate | romajiName |
P2508
|
FINISHED |
| Object | Itō Sukeyuki |
E64868
|
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: Itō Sukeyuki | Statement: [伊東祐亨, romajiName, Itō Sukeyuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itō Sukeyuki Context triple: [伊東祐亨, romajiName, Itō Sukeyuki]
-
A.
Itō Sukeyuki
chosen
Itō Sukeyuki was a Japanese admiral who became prominent as a leading naval commander during Japan’s early modern wars and the country’s rise as a maritime power.
-
B.
Itsutsuji Tomiko
Itsutsuji Tomiko was a Japanese noblewoman who served as a consort of Emperor Kōmei during the late Edo period.
-
C.
Shōda Fumiko
Shōda Fumiko was a Japanese noblewoman and matriarch of the Shōda family, best known as the mother of Empress Michiko of Japan.
-
D.
Nijō Tsuruko
Nijō Tsuruko was a Japanese noblewoman of the Nijō family and the mother of Empress Shōken, consort of Emperor Meiji.
-
E.
Yamada Kiyomi
Yamada Kiyomi was an Imperial Japanese Army officer who commanded Japanese forces during the World War II Battle of Milne Bay in New Guinea.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d96bc4819083f8b26dfdb3590f |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:52 p.m.