Triple
T9627836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiko |
E232515
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Seiko Hashimoto
Seiko Hashimoto is a Japanese politician and former Olympic speed skater and track cyclist who served as president of the Tokyo 2020 Organising Committee.
|
E810291
|
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: Seiko Hashimoto | Statement: [Seiko, hasNotableBearer, Seiko Hashimoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiko Hashimoto Context triple: [Seiko, hasNotableBearer, Seiko Hashimoto]
-
A.
Ayako Satō
Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
B.
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
-
C.
Hiroko Satō
Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
-
D.
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.
-
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: Seiko Hashimoto Triple: [Seiko, hasNotableBearer, Seiko Hashimoto]
Generated description
Seiko Hashimoto is a Japanese politician and former Olympic speed skater and track cyclist who served as president of the Tokyo 2020 Organising Committee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seiko Hashimoto Target entity description: Seiko Hashimoto is a Japanese politician and former Olympic speed skater and track cyclist who served as president of the Tokyo 2020 Organising Committee.
-
A.
Ayako Satō
Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
B.
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
-
C.
Hiroko Satō
Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
-
D.
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.
-
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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afeb64c8190be91024c2e9039d3 |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17987e4008190a8d43641072a1c86 |
completed | April 4, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d17b479f708190bfbcf206b0fc84d4 |
completed | April 4, 2026, 8:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17bc76be48190bb3376baf476de80 |
completed | April 4, 2026, 8:59 p.m. |
Created at: March 30, 2026, 8:10 p.m.