Triple
T3877506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisaku Yamaguchi |
E92537
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eisaku |
E92537
|
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: Eisaku | Statement: [Eisaku Yamaguchi, givenName, Eisaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisaku Context triple: [Eisaku Yamaguchi, givenName, Eisaku]
-
A.
Eisaku
chosen
Eisaku is a Japanese masculine given name borne by several notable figures, including politicians and entertainers.
-
B.
Eisaku Inoue
Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
-
C.
Eisaku Yamaguchi
Eisaku Yamaguchi is a Japanese voice actor known for his work in anime, video games, and dubbing foreign media.
-
D.
Koiso Kuniaki
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.
-
E.
Junichiro
Junichiro is a Japanese given name most famously borne by Junichiro Koizumi, a reformist former Prime Minister of Japan.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec72fa7c81909c73b3cf90597e9a |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627a72da881908e1a4965177727eb |
completed | March 15, 2026, 3:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.