Triple
T11709224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山田乙三 |
E278327
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
乙三
乙三 is the given name of Yamada Otsu, a Japanese individual most notably recognized as a military commander during World War II.
|
E941924
|
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: 乙三 | Statement: [山田乙三, givenName, 乙三]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 乙三 Context triple: [山田乙三, givenName, 乙三]
-
A.
Deshan Bensheng
Deshan Bensheng was a prominent 9th-century Chinese Chan (Zen) master of the Tang dynasty, known for his strict teaching style and influential role in the development of the Linji school.
-
B.
Bǎojī
Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
-
C.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
-
D.
Weihan
Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
-
E.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
- 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: 乙三 Triple: [山田乙三, givenName, 乙三]
Generated description
乙三 is the given name of Yamada Otsu, a Japanese individual most notably recognized as a military commander during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 乙三 Target entity description: 乙三 is the given name of Yamada Otsu, a Japanese individual most notably recognized as a military commander during World War II.
-
A.
Deshan Bensheng
Deshan Bensheng was a prominent 9th-century Chinese Chan (Zen) master of the Tang dynasty, known for his strict teaching style and influential role in the development of the Linji school.
-
B.
Bǎojī
Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
-
C.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
-
D.
Weihan
Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
-
E.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49f072c81909c6a964a92e5bc0c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8374e6cc8190bba7f2f3ca6f4de9 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b673120819097b542bb9a8f8bdb |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd683366881909dd9621e7c57d0be |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:40 p.m.