Triple
T4571580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobuyuki Hiyama |
E123042
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nobuyuki Hiyama |
E123042
|
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: Nobuyuki Hiyama | Statement: [Nobuyuki Hiyama, name, Nobuyuki Hiyama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nobuyuki Hiyama Context triple: [Nobuyuki Hiyama, name, Nobuyuki Hiyama]
-
A.
Nobuyuki Hiyama
chosen
Nobuyuki Hiyama is a Japanese voice actor known for his energetic and intense performances in numerous anime, video games, and tokusatsu series.
-
B.
Hirofumi Hirano
Hirofumi Hirano is a Japanese politician who has held senior leadership roles in major opposition parties and served in the national legislature.
-
C.
Fumihiro Hayashi
Fumihiro Hayashi is an actor known for his role in the acclaimed 2003 film "Lost in Translation."
-
D.
Hirofumi Yoshimura
Hirofumi Yoshimura is a Japanese politician who serves as the governor of Osaka Prefecture and is a prominent figure in regional reform politics.
-
E.
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."
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c5afa48190bb8505e2cc16e89f |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cf41d5308190be3ce32a4f7b707a |
completed | March 30, 2026, 1:17 a.m. |
Created at: March 20, 2026, 1:10 p.m.