Triple
T3877545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satō |
E92538
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
|
E408982
|
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: Haruka Satō | Statement: [Satō, hasNotableBearer, Haruka Satō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haruka Satō Context triple: [Satō, hasNotableBearer, Haruka Satō]
-
A.
Ayako Satō
Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
B.
Miyuki Hatoyama
Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
-
C.
Hiroko Satō
Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
-
D.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
-
E.
Tsutako Nakasone
Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
- 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: Haruka Satō Triple: [Satō, hasNotableBearer, Haruka Satō]
Generated description
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haruka Satō Target entity description: Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
-
A.
Ayako Satō
Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
B.
Miyuki Hatoyama
Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
-
C.
Hiroko Satō
Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
-
D.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
-
E.
Tsutako Nakasone
Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
- 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_69b55612ab7081909ab9375da1e4119b |
completed | March 14, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69b55718acb88190a491e9654c1f1b7f |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55785a6b4819083737f26eb5db217 |
completed | March 14, 2026, 12:41 p.m. |
Created at: March 9, 2026, 3:20 p.m.