Triple
T21150180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 倪桂珍 |
E521166
|
entity |
| Predicate | 子女 |
P980
|
FINISHED |
| Object | 宋子文 |
—
|
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: 宋子文 | Statement: [倪桂珍, 子女, 宋子文]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 宋子文 Context triple: [倪桂珍, 子女, 宋子文]
-
A.
宋子文
chosen
宋子文 was a prominent Chinese banker and politician of the Republic of China era, known for serving as finance minister and premier and for his influential role in managing wartime finances and diplomacy.
-
B.
孔祥熙
孔祥熙是中国近代著名的银行家和政治人物，曾在国民政府中担任财政部长等要职并深度参与当时的金融与经济政策制定。
-
C.
汪兆铭
汪兆铭 was a prominent Chinese politician and early associate of Sun Yat-sen who later became infamous for leading the Japanese-backed collaborationist regime in Nanjing during World War II.
-
D.
徐世昌
徐世昌 was a prominent late Qing and early Republic of China politician who served as President of the Beiyang government from 1918 to 1922.
-
E.
Li Jishen
Li Jishen was a prominent Chinese military leader and politician of the early 20th century who played a key role in regional power struggles and later in the founding of the People’s Republic of China.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.