Triple
T5696174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xunzi |
E125544
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object | Li Si |
E181421
|
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: Li Si | Statement: [Xunzi, student, Li Si]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Si Context triple: [Xunzi, student, Li Si]
-
A.
Li Si
chosen
Li Si was a powerful Chinese statesman and legalist philosopher who served as chancellor under Qin Shi Huang and played a key role in the unification and centralization of China.
-
B.
Xun Kuang
Xun Kuang, better known as Xunzi, was an influential Warring States–period Confucian philosopher noted for his belief in the innate badness of human nature and the importance of ritual and education.
-
C.
Cai Chang
Cai Chang was a prominent Chinese communist revolutionary and early feminist leader who played a key role in the women’s movement in 20th-century China.
-
D.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
E.
He Zhizhang
He Zhizhang was a prominent Tang dynasty poet and official known for his refined literary style and contributions to classical Chinese poetry.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240bde1881909f7ea13bd84deaa8 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07ddd0f248190a796055212284542 |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:45 p.m.