Triple
T10048302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonic CD |
E207673
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Kazuyuki Hoshino |
E976772
|
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: Kazuyuki Hoshino | Statement: [Sonic CD, artist, Kazuyuki Hoshino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazuyuki Hoshino Context triple: [Sonic CD, artist, Kazuyuki Hoshino]
-
A.
Kazuyuki Hoshino
chosen
Kazuyuki Hoshino is a Japanese video game artist and designer best known for his long-running work on the Sonic the Hedgehog series at Sega.
-
B.
Tatsuhiko Kawashima
Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
-
C.
Nobuyuki Katsube
Nobuyuki Katsube is a Japanese actor known for his roles in film and television, including a starring performance in the drama "Kumiko, the Treasure Hunter."
-
D.
Kazuhiko Nishijima
Kazuhiko Nishijima was a Japanese theoretical physicist best known for co-formulating the Gell-Mann–Nishijima formula, which helped classify subatomic particles and advance the quark model in particle physics.
-
E.
Kazuyuki Furuya
Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63449892881909d361815cbfcdee5 |
completed | May 2, 2026, 5:28 p.m. |
Created at: March 30, 2026, 8:56 p.m.