Triple
T15435245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakasone political family |
E369742
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nakasone |
E1183236
|
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: Nakasone | Statement: [Nakasone political family, familyName, Nakasone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakasone Context triple: [Nakasone political family, familyName, Nakasone]
-
A.
Masakazu Nakasone
Masakazu Nakasone is a Japanese politician who serves as the mayor of the city of Uruma in Okinawa Prefecture.
-
B.
Yasutaka Nakasone
chosen
Yasutaka Nakasone is a Japanese politician and member of the prominent Nakasone political family.
-
C.
Hirofumi Nakasone
Hirofumi Nakasone is a Japanese politician who has served in the House of Councillors and held cabinet posts including Minister for Foreign Affairs.
-
D.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
E.
Takeshita Hiroshi
Takeshita Hiroshi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Takeshita.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 3:21 a.m.