Triple
T12839679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuji |
E307015
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object |
周司
周司 is a Japanese given name, typically romanized as Shuji, used for male individuals.
|
E1003595
|
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: 周司 | Statement: [Shuji, canBeWrittenAs, 周司]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 周司 Context triple: [Shuji, canBeWrittenAs, 周司]
-
A.
Gu Weijun
Gu Weijun, better known internationally as V. K. Wellington Koo, was a prominent Chinese diplomat and statesman who represented China at major 20th-century international conferences and served in key ambassadorial and governmental roles.
-
B.
Wang Sicong
Wang Sicong is a Chinese businessman and internet celebrity known as the outspoken son of billionaire Wanda Group founder Wang Jianlin and for his high-profile investments and social media presence.
-
C.
Zhao Jiwei
Zhao Jiwei is a prominent Chinese professional basketball guard known for his playmaking and leadership for both the Liaoning Flying Leopards in the CBA and the Chinese national team.
-
D.
张勇
张勇是一位中国企业家,曾担任阿里巴巴集团首席执行官和董事长。
-
E.
Zhu Jun
Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
- 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: 周司 Triple: [Shuji, canBeWrittenAs, 周司]
Generated description
周司 is a Japanese given name, typically romanized as Shuji, used for male individuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 周司 Target entity description: 周司 is a Japanese given name, typically romanized as Shuji, used for male individuals.
-
A.
Gu Weijun
Gu Weijun, better known internationally as V. K. Wellington Koo, was a prominent Chinese diplomat and statesman who represented China at major 20th-century international conferences and served in key ambassadorial and governmental roles.
-
B.
Wang Sicong
Wang Sicong is a Chinese businessman and internet celebrity known as the outspoken son of billionaire Wanda Group founder Wang Jianlin and for his high-profile investments and social media presence.
-
C.
Zhao Jiwei
Zhao Jiwei is a prominent Chinese professional basketball guard known for his playmaking and leadership for both the Liaoning Flying Leopards in the CBA and the Chinese national team.
-
D.
张勇
张勇是一位中国企业家,曾担任阿里巴巴集团首席执行官和董事长。
-
E.
Zhu Jun
Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edd30e881909062e8f91f614990 |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f68f8e29508190b9c5b5ed88631bf8 |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69006c0288190a49ba8714cd19959 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:35 p.m.