Triple
T13032074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Emperor |
E326464
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ruocheng Ying
Ruocheng Ying was a Chinese actor and cultural figure best known internationally for his role in Bernardo Bertolucci’s film "The Last Emperor."
|
E1025417
|
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: Ruocheng Ying | Statement: [The Last Emperor, starring, Ruocheng Ying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruocheng Ying Context triple: [The Last Emperor, starring, Ruocheng Ying]
-
A.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
-
B.
Yao Ling
Yao Ling is known as the former spouse of Ren Zhengfei, the founder of Chinese telecommunications giant Huawei.
-
C.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
D.
Li Jingxi
Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
-
E.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
- 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: Ruocheng Ying Triple: [The Last Emperor, starring, Ruocheng Ying]
Generated description
Ruocheng Ying was a Chinese actor and cultural figure best known internationally for his role in Bernardo Bertolucci’s film "The Last Emperor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruocheng Ying Target entity description: Ruocheng Ying was a Chinese actor and cultural figure best known internationally for his role in Bernardo Bertolucci’s film "The Last Emperor."
-
A.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
-
B.
Yao Ling
Yao Ling is known as the former spouse of Ren Zhengfei, the founder of Chinese telecommunications giant Huawei.
-
C.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
D.
Li Jingxi
Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
-
E.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead058ac819091b13ddd25067869 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f151f25c8190a55714d980dd8c91 |
completed | May 3, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f1b5c67c8190a2216ef32c5420c9 |
completed | May 3, 2026, 6:56 a.m. |
Created at: April 9, 2026, 8:54 p.m.