Triple
T10868855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng Xiuwen |
E256598
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peng Xiuwen |
E256598
|
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 Xiuwen | Statement: [Peng Xiuwen, name, Peng Xiuwen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peng Xiuwen Context triple: [Peng Xiuwen, name, Peng Xiuwen]
-
A.
Peng Xiuwen
chosen
Peng Xiuwen was a renowned Chinese conductor and arranger best known for modernizing and popularizing traditional Chinese orchestral music in the 20th century.
-
B.
Li Xiuwen
Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
-
C.
Zhou Xiaoou
Zhou Xiaoou is a Chinese actor and musician best known as a member of the pop group Snowkel and for his roles in contemporary Chinese films and television dramas.
-
D.
Peng Yuxing
Peng Yuxing is a Chinese chemist and former provincial science and technology official who became known for his role in Sichuan’s scientific development and subsequent investigation on corruption charges.
-
E.
Li Xiannian
Li Xiannian was a prominent Chinese Communist revolutionary and politician who served as President of the People’s Republic of China from 1983 to 1988.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75170665881909944f92c2cdbe7e6 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d9ce3c8190afeb2a27fb82b594 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.