Triple
T2312099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng |
E51981
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
|
E283195
|
NE FINISHED |
How this triple was built (4 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, hasNotableBearer, Peng Yuchang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peng Yuchang Context triple: [Peng, hasNotableBearer, Peng Yuchang]
-
A.
Yin Jichang
Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
-
B.
Zeng Liansong
Zeng Liansong was a Chinese designer best known for creating the national flag of the People's Republic of China.
-
C.
Ding Ruchang
Ding Ruchang was a late Qing dynasty Chinese naval officer best known for leading the Beiyang Fleet during the First Sino-Japanese War.
-
D.
Zhu Peide
Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
-
E.
Zhang Wenqi
Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peng Yuchang Triple: [Peng, hasNotableBearer, Peng Yuchang]
Generated description
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peng Yuchang Target entity description: Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
A.
Yin Jichang
Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
-
B.
Zeng Liansong
Zeng Liansong was a Chinese designer best known for creating the national flag of the People's Republic of China.
-
C.
Ding Ruchang
Ding Ruchang was a late Qing dynasty Chinese naval officer best known for leading the Beiyang Fleet during the First Sino-Japanese War.
-
D.
Zhu Peide
Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
-
E.
Zhang Wenqi
Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
- F. None of above. chosen
Provenance (5 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc61a8e248190b5024cca9efd806d |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af9056833081908dc3a8c74f4fd4c0 |
completed | March 10, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69af91867170819090d866424bdb88ee |
completed | March 10, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91f9e1208190aa149c9afc84911c |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 4, 2026, 7:49 p.m.