Triple
T7998236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Su Shi |
E186180
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Su Shi |
E186180
|
NE FINISHED |
How this triple was built (2 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: Su Shi | Statement: [Su Shi, name, Su Shi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Su Shi Context triple: [Su Shi, name, Su Shi]
-
A.
Su Shi
chosen
Su Shi was a renowned Song dynasty Chinese poet, essayist, calligrapher, and statesman celebrated as one of the greatest literary figures in Chinese history.
-
B.
Lu You
Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
-
C.
Ouyang Xiu
Ouyang Xiu was an influential Song dynasty statesman, historian, and literary figure renowned for his prose, poetry, and role in shaping classical Chinese literature and scholarship.
-
D.
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.
-
E.
Wei He
Wei He is the Chinese name for the Wei River, a major tributary of the Yellow River that flows through the historical heartland of ancient Chinese civilization in Shaanxi province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cc56910dd4819084ffe3350f15d95d |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:17 p.m.