Triple
T15069826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeshita |
E379844
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Takeshita Wataru |
E379844
|
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: Takeshita Wataru | Statement: [Takeshita, hasNotableBearer, Takeshita Wataru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takeshita Wataru Context triple: [Takeshita, hasNotableBearer, Takeshita Wataru]
-
A.
Takeshita
chosen
Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
-
B.
Ikeda Toshitaka
Ikeda Toshitaka was a Japanese daimyō of the early Edo period who ruled the Okayama Domain as a member of the powerful Ikeda clan.
-
C.
Yoshihiko
Yoshihiko is a Japanese given name commonly used for males.
-
D.
Kaoru Hatoyama
Kaoru Hatoyama was a prominent Japanese educator and political figure who co-founded Kyoritsu Women's University and served as a leading advocate for women's education in Japan.
-
E.
Nobuteru Ishihara
Nobuteru Ishihara is a Japanese politician from the Liberal Democratic Party who has served in the House of Representatives and held cabinet positions including Minister of the Environment.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7f86df48190b3a2cf441fefb477 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b340900819093aa210b702f124b |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:02 a.m.