Triple
T6433561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chikako Aso |
E129835
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chikako Aso |
E129835
|
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: Chikako Aso | Statement: [Chikako Aso, name, Chikako Aso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chikako Aso Context triple: [Chikako Aso, name, Chikako Aso]
-
A.
Chikako Aso
chosen
Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
-
B.
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.
-
C.
Tsutako Nakasone
Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
-
D.
Kazuko Aso
Kazuko Aso was a Japanese woman best known as the mother of Taro Aso, who served as Prime Minister of Japan.
-
E.
Miyuki Hatoyama
Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693f73ec8190883470b57f8141aa |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640efd490819084b3b67b3b0680b6 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:45 p.m.