Triple
T3877556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satō |
E92538
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tomoko Satō
Tomoko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
|
E413007
|
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: Tomoko Satō | Statement: [Satō, hasNotableBearer, Tomoko Satō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomoko Satō Context triple: [Satō, hasNotableBearer, Tomoko Satō]
-
A.
Yoshiko Satō
Yoshiko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
B.
Kiyoko Fukuda
Kiyoko Fukuda is the wife of former Japanese Prime Minister Yasuo Fukuda and a member of a prominent political family in Japan.
-
C.
Michiko Shōda
Michiko Shōda, later Empress Michiko, is the former Empress consort of Japan and the first commoner to marry into the Japanese imperial family.
-
D.
Makiko Tanaka
Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
-
E.
Akiko Yoshida
Akiko Yoshida is an individual known primarily through her close personal association with Steve Smith.
- 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: Tomoko Satō Triple: [Satō, hasNotableBearer, Tomoko Satō]
Generated description
Tomoko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomoko Satō Target entity description: Tomoko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
A.
Yoshiko Satō
Yoshiko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
B.
Kiyoko Fukuda
Kiyoko Fukuda is the wife of former Japanese Prime Minister Yasuo Fukuda and a member of a prominent political family in Japan.
-
C.
Michiko Shōda
Michiko Shōda, later Empress Michiko, is the former Empress consort of Japan and the first commoner to marry into the Japanese imperial family.
-
D.
Makiko Tanaka
Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
-
E.
Akiko Yoshida
Akiko Yoshida is an individual known primarily through her close personal association with Steve Smith.
- 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_69b56b39f55c819099e5ce90137de570 |
completed | March 14, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69b56c29c72081909e6ef890dde593dd |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56ca671d0819097760161832998b0 |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:20 p.m.