Triple
T9614602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan |
E232186
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Yuan Quan
Yuan Quan is a Chinese actress and singer known for her acclaimed performances in film, television, and theater.
|
E811098
|
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: Yuan Quan | Statement: [Yuan, hasNotableBearer, Yuan Quan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuan Quan Context triple: [Yuan, hasNotableBearer, Yuan Quan]
-
A.
Yuan Dao
Yuan Dao is a famous prose essay by the Tang dynasty writer Han Yu that expounds his Confucian philosophical views and critiques prevailing religious and intellectual trends of his time.
-
B.
Tien Quan Ca
Tien Quan Ca is a Vietnamese patriotic song composed by Văn Cao that later became the national anthem of Vietnam.
-
C.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
D.
Qieyun
Qieyun is a 7th-century Chinese rhyme dictionary that systematically records the pronunciation of Chinese characters in Middle Chinese and became a foundational source for historical Chinese phonology.
-
E.
Guozhang
Guozhang is a Chinese given name notably borne by Feng Guozhang, a prominent early 20th-century Chinese military and political leader.
- 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: Yuan Quan Triple: [Yuan, hasNotableBearer, Yuan Quan]
Generated description
Yuan Quan is a Chinese actress and singer known for her acclaimed performances in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuan Quan Target entity description: Yuan Quan is a Chinese actress and singer known for her acclaimed performances in film, television, and theater.
-
A.
Yuan Dao
Yuan Dao is a famous prose essay by the Tang dynasty writer Han Yu that expounds his Confucian philosophical views and critiques prevailing religious and intellectual trends of his time.
-
B.
Tien Quan Ca
Tien Quan Ca is a Vietnamese patriotic song composed by Văn Cao that later became the national anthem of Vietnam.
-
C.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
D.
Qieyun
Qieyun is a 7th-century Chinese rhyme dictionary that systematically records the pronunciation of Chinese characters in Middle Chinese and became a foundational source for historical Chinese phonology.
-
E.
Guozhang
Guozhang is a Chinese given name notably borne by Feng Guozhang, a prominent early 20th-century Chinese military and political leader.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17958287081908e337bdbe9ea366f |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17d9d69908190879b160968e41745 |
completed | April 4, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17e4c9e40819081367d2365bf5dd2 |
completed | April 4, 2026, 9:10 p.m. |
Created at: March 30, 2026, 8:09 p.m.