Triple
T22572725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Tomohito of Mikasa |
E558114
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Nobuko 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: Nobuko Aso | Statement: [Princess Tomohito of Mikasa, birthName, Nobuko Aso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nobuko Aso Context triple: [Princess Tomohito of Mikasa, birthName, Nobuko Aso]
-
A.
Nobuko Aso
chosen
Nobuko Aso is a Japanese public figure best known as a member of the prominent Aso political family.
-
B.
Chikako Aso
Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
-
C.
Yoshiko Aso
Yoshiko Aso is a member of the prominent Aso political and business family in Japan, known for her familial connection to former Prime Minister Taro Aso.
-
D.
Tsutako Nakasone
Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
-
E.
Yūko Obuchi
Yūko Obuchi is a Japanese politician and former Minister of Economy, Trade and Industry, known as the daughter of former Prime Minister Keizō Obuchi.
- 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.