Triple
T8202595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang of Shang |
E191613
|
entity |
| Predicate | issue |
P2239
|
FINISHED |
| Object |
Zhong Ren
Zhong Ren is a legendary early Shang dynasty figure traditionally regarded as a son and successor of Tang of Shang in ancient Chinese historiography.
|
E719283
|
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: Zhong Ren | Statement: [Tang of Shang, issue, Zhong Ren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhong Ren Context triple: [Tang of Shang, issue, Zhong Ren]
-
A.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
B.
Yu Xuezhong
Yu Xuezhong was a prominent Chinese military leader associated with the Northeastern Army during the Republican era.
-
C.
Sun Lianzhong
Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
D.
Zhu Zhanyong
Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
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: Zhong Ren Triple: [Tang of Shang, issue, Zhong Ren]
Generated description
Zhong Ren is a legendary early Shang dynasty figure traditionally regarded as a son and successor of Tang of Shang in ancient Chinese historiography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhong Ren Target entity description: Zhong Ren is a legendary early Shang dynasty figure traditionally regarded as a son and successor of Tang of Shang in ancient Chinese historiography.
-
A.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
B.
Yu Xuezhong
Yu Xuezhong was a prominent Chinese military leader associated with the Northeastern Army during the Republican era.
-
C.
Sun Lianzhong
Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
D.
Zhu Zhanyong
Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df84b108190b4407a72a3500af9 |
completed | March 31, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedc49ba4819099762f200c4e6577 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b818588190936f96d53bf08c2b |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05c2059081908bd04ee4722f9aad |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:43 p.m.