Triple
T17388639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sōsuke Uno |
E422756
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sōsuke |
—
|
NE NERFINISHED |
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: Sōsuke | Statement: [Sōsuke Uno, givenName, Sōsuke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sōsuke Context triple: [Sōsuke Uno, givenName, Sōsuke]
-
A.
Shinnosuke
Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
-
B.
Sōsuke Uno
chosen
Sōsuke Uno was a Japanese politician of the Liberal Democratic Party who briefly served as Prime Minister of Japan in 1989 before resigning amid a financial and sex scandal.
-
C.
Ichirō
Ichirō is a common Japanese masculine given name that can be written with various kanji and is often associated with first-born sons.
-
D.
Taisuke
Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
-
E.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.