Triple
T3877537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satō |
E92538
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
|
E445133
|
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: Shigeru Satō | Statement: [Satō, hasNotableBearer, Shigeru Satō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shigeru Satō Context triple: [Satō, hasNotableBearer, Shigeru Satō]
-
A.
Eisaku Inoue
Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
-
B.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
C.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
D.
Koji Satō
Koji Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
E.
Eisaku Yamaguchi
Eisaku Yamaguchi is a Japanese voice actor known for his work in anime, video games, and dubbing foreign media.
- 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: Shigeru Satō Triple: [Satō, hasNotableBearer, Shigeru Satō]
Generated description
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shigeru Satō Target entity description: Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
A.
Eisaku Inoue
Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
-
B.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
C.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
D.
Koji Satō
Koji Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
E.
Eisaku Yamaguchi
Eisaku Yamaguchi is a Japanese voice actor known for his work in anime, video games, and dubbing foreign media.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec72fa7c81909c73b3cf90597e9a |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6721847ec8190bc4307ee958d1096 |
completed | March 15, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69b67639867081909ab21686ba24dc9d |
completed | March 15, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b676a1b42881909d1aef38b9c1c2db |
completed | March 15, 2026, 9:06 a.m. |
Created at: March 9, 2026, 3:20 p.m.