Triple
T7126667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirino Toshiaki |
E166079
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kirino |
E166079
|
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: Kirino | Statement: [Kirino Toshiaki, familyName, Kirino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirino Context triple: [Kirino Toshiaki, familyName, Kirino]
-
A.
Katayama Haru
Katayama Haru was the wife of Japanese socialist politician and postwar Prime Minister Tetsu Katayama.
-
B.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
C.
Kirino Toshiaki
chosen
Kirino Toshiaki was a prominent samurai and military leader of the late Edo and early Meiji periods, best known as one of Saigō Takamori’s closest allies and a leading figure in the anti-government Satsuma Rebellion.
-
D.
Yukari Sugi
Yukari Sugi is a Japanese actress and the former wife of acclaimed actor Ken Watanabe.
-
E.
Sojin Kamiyama
Sojin Kamiyama was a Japanese actor of the silent film era, best known for his prominent roles in early Hollywood productions.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3357e548190bb56c31843c69f95 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.