Triple
T9046705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hu Shi |
E216772
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 胡適 |
E216772
|
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: 胡適 | Statement: [Hu Shi, nativeName, 胡適]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 胡適 Context triple: [Hu Shi, nativeName, 胡適]
-
A.
Hu Shi
chosen
Hu Shi was a prominent Chinese philosopher, essayist, and diplomat who championed literary reform and the use of vernacular Chinese, becoming a leading intellectual figure of early 20th-century China.
-
B.
王文華
王文華是一位華人姓名，常見於華語地區的人物與作家、學者等多種身分。
-
C.
Feng Youlan
Feng Youlan was a prominent 20th-century Chinese philosopher and historian of Chinese philosophy, best known for his systematic reconstruction and interpretation of traditional Chinese thought.
-
D.
Cai Yuanpei
Cai Yuanpei was a prominent early 20th-century Chinese educator, reformer, and president of Peking University who played a key leadership role in advancing liberal, scientific, and democratic ideals in modern Chinese intellectual life.
-
E.
嚴家淦
嚴家淦 was a Taiwanese politician who served as the President of the Republic of China from 1975 to 1978.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b4e4b888190a425e29b193b506f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.