Triple
T12414023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 民進党 |
E296589
|
entity |
| Predicate | hasLeader |
P981
|
FINISHED |
| Object |
蓮舫
蓮舫は、日本の政治家であり、参議院議員として活動しつつ野党の要職も歴任してきた人物です。
|
E981177
|
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: 蓮舫 | Statement: [民進党, hasLeader, 蓮舫]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 蓮舫 Context triple: [民進党, hasLeader, 蓮舫]
-
A.
百丈懷海
百丈懷海 was an influential Tang dynasty Chan (Zen) Buddhist master known for establishing monastic regulations and emphasizing meditation in daily labor.
-
B.
成澤廣修
成澤廣修は、日本の政治家で、東京都文京区の区政を長年担ってきた区長として知られている人物である。
-
C.
秀樹
秀樹 is a common Japanese masculine given name, typically read as "Hideki" and written with kanji meaning "excellent" or "outstanding" and "tree."
-
D.
栗林貞子
栗林貞子は、第二次世界大戦中の硫黄島守備隊司令官として知られる日本陸軍大将・栗林忠道の家族の一員である女性である。
-
E.
大山巌
大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
- 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: 蓮舫 Triple: [民進党, hasLeader, 蓮舫]
Generated description
蓮舫は、日本の政治家であり、参議院議員として活動しつつ野党の要職も歴任してきた人物です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 蓮舫 Target entity description: 蓮舫は、日本の政治家であり、参議院議員として活動しつつ野党の要職も歴任してきた人物です。
-
A.
百丈懷海
百丈懷海 was an influential Tang dynasty Chan (Zen) Buddhist master known for establishing monastic regulations and emphasizing meditation in daily labor.
-
B.
成澤廣修
成澤廣修は、日本の政治家で、東京都文京区の区政を長年担ってきた区長として知られている人物である。
-
C.
秀樹
秀樹 is a common Japanese masculine given name, typically read as "Hideki" and written with kanji meaning "excellent" or "outstanding" and "tree."
-
D.
栗林貞子
栗林貞子は、第二次世界大戦中の硫黄島守備隊司令官として知られる日本陸軍大将・栗林忠道の家族の一員である女性である。
-
E.
大山巌
大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348ccaf88190aeb0dfb7fe1d8dec |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f635997b088190b6207fcac5594eb2 |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d9e13881908d3d08c6cf954304 |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.