Triple
T12237221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng Xiaolian |
E291627
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peng Xiaolian |
E291627
|
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: Peng Xiaolian | Statement: [Peng Xiaolian, name, Peng Xiaolian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peng Xiaolian Context triple: [Peng Xiaolian, name, Peng Xiaolian]
-
A.
Peng Xiaolian
chosen
Peng Xiaolian was a prominent Chinese film director and screenwriter known for her nuanced portrayals of women's lives and Shanghai's urban culture.
-
B.
Peng Shige
Peng Shige is a prominent Chinese mathematician renowned for his foundational contributions to stochastic analysis and backward stochastic differential equations.
-
C.
Xi Qianping
Xi Qianping is a relatively private member of the prominent Xi political family in China, known primarily as a child of revolutionary leader Xi Zhongxun and sibling of current Chinese leader Xi Jinping.
-
D.
Luo Peijin
Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
-
E.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb2892c81909a97b3ad6ec2c21b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:51 p.m.