Triple
T1415570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobutaka Machimura |
E31907
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
町村 信孝
町村 信孝 was a Japanese politician of the Liberal Democratic Party who served in key government positions including Minister for Foreign Affairs and Speaker of the House of Representatives.
|
E162903
|
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: 町村 信孝 | Statement: [Nobutaka Machimura, nativeName, 町村 信孝]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 町村 信孝 Context triple: [Nobutaka Machimura, nativeName, 町村 信孝]
-
A.
栗林忠道
栗林忠道は、第二次世界大戦中に硫黄島守備隊を指揮し、徹底した防御戦術で知られる日本陸軍の将軍です。
-
B.
畑 俊六
畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
-
C.
Kume Kunitake
Kume Kunitake was a Meiji-era Japanese scholar, historian, and statesman best known for documenting the Iwakura Mission’s journey and for his influential writings on Japan’s modernization.
-
D.
本間雅晴
本間雅晴は、第二次世界大戦期にフィリピン侵攻作戦を指揮し、戦後に戦争犯罪で裁かれた日本陸軍の軍人である。
-
E.
Ugaki Kazushige
Ugaki Kazushige was a Japanese military officer and politician who served as a prominent imperial administrator during Japan’s pre-World War II expansion.
- 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: 町村 信孝 Triple: [Nobutaka Machimura, nativeName, 町村 信孝]
Generated description
町村 信孝 was a Japanese politician of the Liberal Democratic Party who served in key government positions including Minister for Foreign Affairs and Speaker of the House of Representatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 町村 信孝 Target entity description: 町村 信孝 was a Japanese politician of the Liberal Democratic Party who served in key government positions including Minister for Foreign Affairs and Speaker of the House of Representatives.
-
A.
栗林忠道
栗林忠道は、第二次世界大戦中に硫黄島守備隊を指揮し、徹底した防御戦術で知られる日本陸軍の将軍です。
-
B.
畑 俊六
畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
-
C.
Kume Kunitake
Kume Kunitake was a Meiji-era Japanese scholar, historian, and statesman best known for documenting the Iwakura Mission’s journey and for his influential writings on Japan’s modernization.
-
D.
本間雅晴
本間雅晴は、第二次世界大戦期にフィリピン侵攻作戦を指揮し、戦後に戦争犯罪で裁かれた日本陸軍の軍人である。
-
E.
Ugaki Kazushige
Ugaki Kazushige was a Japanese military officer and politician who served as a prominent imperial administrator during Japan’s pre-World War II expansion.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c402b1648190b87802d9beb2712e |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5812abc819091894509e9d6bd77 |
completed | March 8, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_69ace95beb64819081f6f169c86105fd |
completed | March 8, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace9bd8fcc8190b25515f2ba1284c0 |
completed | March 8, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:59 p.m.