Triple
T21094922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobuyuki Katsube |
E519737
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nobuyuki |
—
|
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: Nobuyuki | Statement: [Nobuyuki Katsube, givenName, Nobuyuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nobuyuki Context triple: [Nobuyuki Katsube, givenName, Nobuyuki]
-
A.
Nobuyuki
chosen
Nobuyuki is the given name of the Japanese haiku poet better known by his pen name Kobayashi Issa.
-
B.
Yasuhiko
Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
-
C.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
-
D.
Noriyuki
Noriyuki is the given first name of actor Pat Morita, best known for his role as Mr. Miyagi in "The Karate Kid" film series.
-
E.
Nobuhito
Nobuhito, better known as Prince Takamatsu, was a Japanese imperial prince and the third son of Emperor Taishō, noted for his military career and postwar advocacy for peace.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.