Triple
T7998280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Su Shi |
E186180
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
Xin Qiji
Xin Qiji was a prominent Southern Song dynasty poet and military leader renowned for his bold, patriotic ci poetry and complex, allusive style.
|
E717762
|
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: Xin Qiji | Statement: [Su Shi, influenced, Xin Qiji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xin Qiji Context triple: [Su Shi, influenced, Xin Qiji]
-
A.
Lu You
Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
-
B.
Su Shi
Su Shi was a renowned Song dynasty Chinese poet, essayist, calligrapher, and statesman celebrated as one of the greatest literary figures in Chinese history.
-
C.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
D.
Qi Xin
Qi Xin is a Chinese revolutionary and former Party official best known as the mother of China’s paramount leader Xi Jinping.
-
E.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
- 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: Xin Qiji Triple: [Su Shi, influenced, Xin Qiji]
Generated description
Xin Qiji was a prominent Southern Song dynasty poet and military leader renowned for his bold, patriotic ci poetry and complex, allusive style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xin Qiji Target entity description: Xin Qiji was a prominent Southern Song dynasty poet and military leader renowned for his bold, patriotic ci poetry and complex, allusive style.
-
A.
Lu You
Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
-
B.
Su Shi
Su Shi was a renowned Song dynasty Chinese poet, essayist, calligrapher, and statesman celebrated as one of the greatest literary figures in Chinese history.
-
C.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
D.
Qi Xin
Qi Xin is a Chinese revolutionary and former Party official best known as the mother of China’s paramount leader Xi Jinping.
-
E.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c98e39081908904d36a31bd6768 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecaf89e88190b347abc200d1a266 |
completed | April 1, 2026, 10 a.m. |
| NEDg | Description generation | batch_69ccf0982f4481908e2a59424fdf470f |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd051913708190a83f925cf0cbbaa1 |
completed | April 1, 2026, 11:44 a.m. |
Created at: March 30, 2026, 5:17 p.m.