Triple
T18005216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakajima Hikari |
E430727
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nakajima |
—
|
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: Nakajima | Statement: [Nakajima Hikari, familyName, Nakajima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakajima Context triple: [Nakajima Hikari, familyName, Nakajima]
-
A.
Nakajima
chosen
Nakajima was a major Japanese aircraft manufacturer, especially active during World War II, known for producing numerous military aircraft for the Imperial Japanese Navy and Army.
-
B.
Kawajima
Kawajima is a small town in Saitama Prefecture, Japan, known for its rural landscape and location near the Arakawa River.
-
C.
Nakajima Hikari
Nakajima Hikari is a Japanese politician who served as the successor to Nakajima Sakae 11 in public office.
-
D.
Nakajima Sakae
Nakajima Sakae is a Japanese individual whose specific public profile or notable achievements are not clearly identifiable from the available information.
-
E.
Fram Kitagawa
Fram Kitagawa is a prominent Japanese art curator and producer known for organizing large-scale contemporary art projects and revitalizing rural regions through art festivals.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51ba1888190a339d726e92f376b |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.