Triple
T12066795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minoru |
E287317
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Minoru Nagata |
—
|
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: Minoru Nagata | Statement: [Minoru, hasNotableBearer, Minoru Nagata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minoru Nagata Context triple: [Minoru, hasNotableBearer, Minoru Nagata]
-
A.
Minoru Nagata
chosen
Minoru Nagata was a renowned Japanese acoustical engineer best known as the founder of Nagata Acoustics, a leading firm in concert hall and auditorium design.
-
B.
Minoru Tanaka
Minoru Tanaka is a Japanese professional wrestler and mixed martial artist known for his technical skill and success in junior heavyweight divisions across multiple promotions.
-
C.
Ryo Nagamatsu
Ryo Nagamatsu is a Japanese video game composer best known for his work on major Nintendo titles, particularly in the Super Mario and The Legend of Zelda series.
-
D.
Makoto Yamashita
Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
-
E.
Minoru Sano
Minoru Sano is a renowned Japanese ramen chef and television personality, often credited with elevating ramen to gourmet status in Japan.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904423dc08190a47194422255c62e |
completed | April 10, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:48 p.m.