Triple
T23243813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan Shikai |
E581528
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Yuan Kewen |
—
|
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: Yuan Kewen | Statement: [Yuan Shikai, child, Yuan Kewen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuan Kewen Context triple: [Yuan Shikai, child, Yuan Kewen]
-
A.
Yuan Kewen
chosen
Yuan Kewen was a Chinese scholar, calligrapher, and eccentric intellectual of the early 20th century, best known as the second son of warlord and short-lived emperor Yuan Shikai.
-
B.
Yuan Wenkang
Yuan Wenkang is a Chinese actor known for his roles in film and television dramas.
-
C.
Zhou Xiaowen
Zhou Xiaowen is a Chinese film director known for his contributions to contemporary Chinese cinema.
-
D.
Zhou Kaiya
Zhou Kaiya is a Chinese zoologist and cetacean specialist known for his extensive research on the baiji (Lipotes vexillifer), the now functionally extinct Yangtze River dolphin.
-
E.
Chen Weiya
Chen Weiya is a Chinese film and stage director best known for co-directing and choreographing large-scale productions, including the acclaimed ceremonies of the 2008 Beijing Olympics.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.