Triple
T6194212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang Shengzhi |
E138469
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tang Shengzhi |
E138469
|
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: Tang Shengzhi | Statement: [Tang Shengzhi, name, Tang Shengzhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tang Shengzhi Context triple: [Tang Shengzhi, name, Tang Shengzhi]
-
A.
Tang Shengzhi
chosen
Tang Shengzhi was a Chinese Nationalist general best known for his controversial leadership during the Second Sino-Japanese War, particularly in the defense and fall of Nanjing in 1937.
-
B.
Tang Shaoyi
Tang Shaoyi was a Chinese statesman and diplomat who briefly served as the first premier of the Republic of China in the early 20th century.
-
C.
Zhu Changluo
Zhu Changluo, better known by his temple name the Taichang Emperor, was a Ming dynasty emperor of China whose brief reign in 1620 was marked by political intrigue and a sudden, controversial death.
-
D.
Xu Shichang
Xu Shichang was a Chinese statesman who served as President of the Beiyang government during the early Republic of China era.
-
E.
Sheng Xuanhuai
Sheng Xuanhuai was a late Qing dynasty Chinese industrialist and statesman who played a key role in China's early modernization, particularly in industry, commerce, and education.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537b6f108190a5f7084412537d11 |
completed | March 27, 2026, 9:52 a.m. |
Created at: March 22, 2026, 4:19 p.m.