Triple
T20938588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genichi Kawakami |
E515653
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kawakami |
—
|
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: Kawakami | Statement: [Genichi Kawakami, familyName, Kawakami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawakami Context triple: [Genichi Kawakami, familyName, Kawakami]
-
A.
Kawakami
chosen
Kawakami is a Japanese surname borne by various notable individuals across fields such as sports, arts, and entertainment.
-
B.
Kawakami Masashi
Kawakami Masashi is a Japanese individual best known for bearing the surname Kawakami, though specific widely recognized achievements or roles under this name are not clearly established in major public records.
-
C.
Kawabe Masakazu
Kawabe Masakazu was a Japanese general in the Imperial Japanese Army during World War II, known for leading major operations in the Burma campaign against Allied forces.
-
D.
Kawakami Hiromi
Kawakami Hiromi is a contemporary Japanese writer known for her quietly surreal, introspective fiction that often explores everyday relationships and urban life.
-
E.
Miyazawa
Miyazawa is a Japanese surname borne by numerous notable figures in politics, literature, and the arts.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.