Triple
T3405031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukio Edano |
E71750
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
枝野幸男
枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
|
E355231
|
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: 枝野幸男 | Statement: [Yukio Edano, nativeName, 枝野幸男]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 枝野幸男 Context triple: [Yukio Edano, nativeName, 枝野幸男]
-
A.
河野太郎
河野太郎 is a prominent Japanese politician known for serving in key cabinet posts such as foreign minister and defense minister, and for his active presence in domestic reform and digital policy.
-
B.
麻生太郎
麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
-
C.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
-
D.
池田勇人
池田勇人 was a Japanese politician who served as Prime Minister in the early 1960s and is best known for promoting rapid economic growth and the “income-doubling plan.”
-
E.
Kunio Hatoyama
Kunio Hatoyama was a Japanese politician and member of the influential Hatoyama political family who served in several ministerial posts, including as Minister of Internal Affairs and Communications.
- 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: 枝野幸男 Triple: [Yukio Edano, nativeName, 枝野幸男]
Generated description
枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 枝野幸男 Target entity description: 枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
-
A.
河野太郎
河野太郎 is a prominent Japanese politician known for serving in key cabinet posts such as foreign minister and defense minister, and for his active presence in domestic reform and digital policy.
-
B.
麻生太郎
麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
-
C.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
-
D.
池田勇人
池田勇人 was a Japanese politician who served as Prime Minister in the early 1960s and is best known for promoting rapid economic growth and the “income-doubling plan.”
-
E.
Kunio Hatoyama
Kunio Hatoyama was a Japanese politician and member of the influential Hatoyama political family who served in several ministerial posts, including as Minister of Internal Affairs and Communications.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8eaa41c819095a4d51aec074649 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd69f388190981da6454dfd4fb1 |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e486c3c81908e73c5b75baf119c |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34fc420b08190baee678721b1b32c |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 8, 2026, 3:15 p.m.