Triple
T11902770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng Yuchang |
E283195
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peng Yuchang |
E283195
|
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 Yuchang | Statement: [Peng Yuchang, name, Peng Yuchang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peng Yuchang Context triple: [Peng Yuchang, name, Peng Yuchang]
-
A.
Peng Yuchang
chosen
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
B.
Peng Huanwu
Peng Huanwu was a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics and for helping advance modern physics research in China.
-
C.
Zhu Changxun
Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
-
D.
Yuan Jiahua
Yuan Jiahua was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Chinese languages.
-
E.
Liang Xingchu
Liang Xingchu was a prominent Chinese military commander of the People's Liberation Army who played key roles in several major campaigns during the Chinese Civil War and the Korean War.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6389ba08190b07fac8e90da0f5b |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:44 p.m.