Triple
T12839686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuji Nakamura |
E307015
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Nakamura |
E236938
|
NE FINISHED |
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: Nakamura | Statement: [Shuji Nakamura, hasFamilyName, Nakamura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakamura Context triple: [Shuji Nakamura, hasFamilyName, Nakamura]
-
A.
Nakamura
chosen
Nakamura is a common Japanese surname borne by many notable individuals across fields such as science, entertainment, and sports.
-
B.
Nishimura
Nishimura is a Japanese surname borne by numerous individuals across fields such as politics, sports, arts, and academia.
-
C.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
D.
Yoshimura
Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Yamazoe
Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edd30e881909062e8f91f614990 |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:35 p.m.