Triple
T22572683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aso family |
E558114
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Taro Aso |
—
|
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: Taro Aso | Statement: [Aso family, hasNotableMember, Taro Aso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taro Aso Context triple: [Aso family, hasNotableMember, Taro Aso]
-
A.
Taro Aso
chosen
Taro Aso is a Japanese politician of the Liberal Democratic Party who has served as Prime Minister and long-time senior cabinet member, including as Deputy Prime Minister and Finance Minister.
-
B.
Hulusi Akar
Hulusi Akar is a Turkish general and politician who served as Chief of the General Staff and later as Turkey’s Minister of National Defense.
-
C.
Takeo Doi
Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
-
D.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
E.
Koji Hashimoto
Koji Hashimoto was a Japanese film director and assistant director best known for his work on the Godzilla franchise and other Toho science fiction films.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:52 p.m.