Triple
T12697516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibō no Tō |
E303373
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Yuriko Koike |
E981173
|
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: Yuriko Koike | Statement: [Kibō no Tō, notableMember, Yuriko Koike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuriko Koike Context triple: [Kibō no Tō, notableMember, Yuriko Koike]
-
A.
Yuriko Koike
chosen
Yuriko Koike is a Japanese politician and former Tokyo governor known for her reformist agenda and for founding the national political party Party of Hope.
-
B.
Erika Koike
Erika Koike is a professional makeup artist best known for her brief, highly publicized marriage to actor Nicolas Cage.
-
C.
Yuko Kishida
Yuko Kishida is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, engaging in various diplomatic and public activities.
-
D.
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
-
E.
Miyuki Hatoyama
Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e2292c8190bffb3a8b6e15029c |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:22 p.m.