Triple
T23243811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan Shikai |
E581528
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Yu Yishang |
E593882
|
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: Yu Yishang | Statement: [Yuan Shikai, spouse, Yu Yishang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yu Yishang Context triple: [Yuan Shikai, spouse, Yu Yishang]
-
A.
Yu Yishang
chosen
Yu Yishang was one of the principal wives of Yuan Shikai, the early 20th-century Chinese military strongman and short-lived emperor of China.
-
B.
Zhu Youtang
Zhu Youtang was a Ming dynasty imperial prince and descendant of the Chenghua Emperor, Zhu Jianshen.
-
C.
Lang Yueting
Lang Yueting is a Chinese actress known for her roles in contemporary Chinese cinema, including prominent performances in both drama and thriller films.
-
D.
Shen Yiqin
Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
-
E.
Yang Ye
Yang Ye was a famed Song dynasty military general and folk hero of the Yang clan, celebrated in Chinese history and legend for his loyalty and battlefield prowess.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5db7f118819098050e612dd98bef |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 4:10 p.m.