Triple
T21358774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makino Nobuaki |
E526709
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Kazoku |
—
|
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: Kazoku | Statement: [Makino Nobuaki, memberOf, Kazoku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazoku Context triple: [Makino Nobuaki, memberOf, Kazoku]
-
A.
Kazoku
chosen
Kazoku was the hereditary peerage system of Japan’s Meiji era, comprising noble families ranked below the imperial family and above commoners.
-
B.
Takasaki-chan
Takasaki-chan is the official cute mascot character representing the city of Takasaki in Japan, often used to promote local culture and tourism.
-
C.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
D.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
-
E.
Oi no Kobumi
Oi no Kobumi is a travel diary by the renowned Japanese haiku poet Matsuo Bashō, recording his later journeys and reflections in prose and verse.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa3924c8190b3decbfda4a2aecf |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.