Triple
T9818791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobuteru Ishihara |
E238474
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ishihara
Ishihara is a common Japanese surname borne by various notable figures in politics, arts, and entertainment.
|
E916085
|
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: Ishihara | Statement: [Nobuteru Ishihara, familyName, Ishihara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ishihara Context triple: [Nobuteru Ishihara, familyName, Ishihara]
-
A.
Hirano
Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
-
B.
Yukuhashi
Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
-
C.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
D.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
E.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
- 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: Ishihara Triple: [Nobuteru Ishihara, familyName, Ishihara]
Generated description
Ishihara is a common Japanese surname borne by various notable figures in politics, arts, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ishihara Target entity description: Ishihara is a common Japanese surname borne by various notable figures in politics, arts, and entertainment.
-
A.
Hirano
Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
-
B.
Yukuhashi
Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
-
C.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
D.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
E.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f31e3d5c8190a044eaf67ebc9f08 |
completed | April 19, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69e4f7dbfafc8190afa1e9fe67f1296e |
completed | April 19, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: March 30, 2026, 8:31 p.m.