Triple
T18029252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimiya Yui |
E431341
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yui |
—
|
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: Yui | Statement: [Kimiya Yui, familyName, Yui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yui Context triple: [Kimiya Yui, familyName, Yui]
-
A.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
B.
Yui Wago
Yui Wago is a Japanese Paralympic athlete best known for lighting the cauldron at the opening ceremony of the Tokyo 2020 Paralympic Games.
-
C.
Kimiya Yui
chosen
Kimiya Yui is a Japanese astronaut, former Japan Air Self-Defense Force fighter pilot, and JAXA spacefarer who has flown to the International Space Station.
-
D.
Yuzuriha
Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
-
E.
Suyasha
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be347f6c8190b324fe74b7dc1764 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.