Triple
T1101771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taro Aso |
E24395
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Aso
Aso is a Japanese surname most prominently associated with Taro Aso, a former Prime Minister of Japan and long-serving political figure.
|
E151002
|
NE FINISHED |
How this triple was built (4 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: Aso | Statement: [Taro Aso, familyName, Aso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aso Context triple: [Taro Aso, familyName, Aso]
-
A.
Mount Aso
Mount Aso is one of Japan’s largest and most active volcanoes, featuring a vast caldera and multiple central cones on the island of Kyushu.
-
B.
Fukuchiyama
Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
-
C.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
D.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
E.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aso Triple: [Taro Aso, familyName, Aso]
Generated description
Aso is a Japanese surname most prominently associated with Taro Aso, a former Prime Minister of Japan and long-serving political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aso Target entity description: Aso is a Japanese surname most prominently associated with Taro Aso, a former Prime Minister of Japan and long-serving political figure.
-
A.
Mount Aso
Mount Aso is one of Japan’s largest and most active volcanoes, featuring a vast caldera and multiple central cones on the island of Kyushu.
-
B.
Fukuchiyama
Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
-
C.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
D.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
E.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
- F. None of above. chosen
Provenance (5 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c21c2c8190a34d91a7afed23a9 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf10d9488190b199a70335430a90 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf77a3748190a510ea10d8ae4373 |
completed | March 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbfe5eae88190ba65808402ada37f |
completed | March 8, 2026, 12:16 a.m. |
Created at: March 1, 2026, 7:43 p.m.