Triple
T10530153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshisuke Aikawa |
E248417
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Aikawa
Aikawa is a Japanese surname borne by various notable individuals in fields such as industry, entertainment, and sports.
|
E598626
|
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: Aikawa | Statement: [Yoshisuke Aikawa, familyName, Aikawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aikawa Context triple: [Yoshisuke Aikawa, familyName, Aikawa]
-
A.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
-
B.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
C.
Nakagawa
Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
-
D.
Isehara
Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
-
E.
Kawazu
Kawazu is a small coastal town in Shizuoka Prefecture, Japan, known for its early-blooming Kawazu-zakura cherry blossoms and hot spring resorts.
- 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: Aikawa Triple: [Yoshisuke Aikawa, familyName, Aikawa]
Generated description
Aikawa is a Japanese surname borne by various notable individuals in fields such as industry, entertainment, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aikawa Target entity description: Aikawa is a Japanese surname borne by various notable individuals in fields such as industry, entertainment, and sports.
-
A.
Aikawa
chosen
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
-
B.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
C.
Nakagawa
Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
-
D.
Isehara
Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
-
E.
Kawazu
Kawazu is a small coastal town in Shizuoka Prefecture, Japan, known for its early-blooming Kawazu-zakura cherry blossoms and hot spring resorts.
- F. None of above.
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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b196bc8190a643f2b534497476 |
completed | May 3, 2026, 7:13 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 6, 2026, 12:30 p.m.