Triple
T4459746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special ID |
E98221
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Tang Yifei
Tang Yifei is a Chinese actress known for her roles in television dramas and films.
|
E443455
|
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: Tang Yifei | Statement: [Special ID, hasCastMember, Tang Yifei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tang Yifei Context triple: [Special ID, hasCastMember, Tang Yifei]
-
A.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
B.
Gao Yang
Gao Yang, better known as Emperor Wenxuan of Northern Qi, was the founding emperor of the Northern Qi dynasty in 6th-century China.
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
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.
-
E.
Hung Yan-yan
Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
- 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: Tang Yifei Triple: [Special ID, hasCastMember, Tang Yifei]
Generated description
Tang Yifei is a Chinese actress known for her roles in television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tang Yifei Target entity description: Tang Yifei is a Chinese actress known for her roles in television dramas and films.
-
A.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
B.
Gao Yang
Gao Yang, better known as Emperor Wenxuan of Northern Qi, was the founding emperor of the Northern Qi dynasty in 6th-century China.
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
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.
-
E.
Hung Yan-yan
Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63767f8d08190a58cc441471adf90 |
completed | March 15, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 12, 2026, 11:33 p.m.