Triple
T20566422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大學 |
E504976
|
entity |
| Predicate | traditionallyAttributedTo |
P6838
|
FINISHED |
| Object | 曾子 |
—
|
NE NERFINISHED |
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: 曾子 | Statement: [大學, traditionallyAttributedTo, 曾子]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 曾子 Context triple: [大學, traditionallyAttributedTo, 曾子]
-
A.
周公
周公是中国西周初期著名的政治家和思想家，被视为制礼作乐、奠定周朝制度与儒家礼治传统的关键人物之一。
-
B.
Zengzi
chosen
Zengzi was a prominent disciple of Confucius, renowned for his moral integrity and influential role in the development and transmission of Confucian thought.
-
C.
季高
季高 is the courtesy name of Zuo Zongtang, a prominent Qing dynasty statesman and military leader known for his role in suppressing rebellions and promoting modernization in China.
-
D.
Mencius
Mencius is a foundational Confucian text recording the teachings and dialogues of the philosopher Mencius, emphasizing the innate goodness of human nature and moral governance.
-
E.
仲儒
仲儒 is the courtesy name of Deng Ai, a prominent Wei general and strategist during China’s Three Kingdoms period.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.