Triple
T17308860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noboru |
E420237
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Noboru Takeshita |
—
|
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: Noboru Takeshita | Statement: [Noboru, hasNotableBearer, Noboru Takeshita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noboru Takeshita Context triple: [Noboru, hasNotableBearer, Noboru Takeshita]
-
A.
Noboru Takeshita
chosen
Noboru Takeshita was a Japanese politician who served as Prime Minister in the late 1980s and was a key power broker within the Liberal Democratic Party.
-
B.
Takeshita Hiroshi
Takeshita Hiroshi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Takeshita.
-
C.
Kuniaki Koiso
Kuniaki Koiso was a Japanese general and politician who served as Prime Minister of Japan during World War II from 1944 to 1945.
-
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.
Yasutaka Nakasone
Yasutaka Nakasone is a Japanese politician and member of the prominent Nakasone political family.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43900eca88190930af0e4ec4fc0f9 |
completed | April 19, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:43 a.m.