Triple
T10935584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Ziyi |
E258322
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Wang Feng
Wang Feng is a prominent Chinese rock musician, singer-songwriter, and music producer known for his influential role in China's contemporary rock scene.
|
E909607
|
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: Wang Feng | Statement: [Zhang Ziyi, spouse, Wang Feng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wang Feng Context triple: [Zhang Ziyi, spouse, Wang Feng]
-
A.
Wang Yifang
Wang Yifang is a prominent Chinese experimental physicist known for his leadership in major neutrino experiments and contributions to particle physics.
-
B.
Li Xiuwen
Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
-
C.
Jiang Wenli
Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
-
D.
Li Ying
Li Ying was a Tang dynasty crown prince and the eldest son of Emperor Xuanzong, whose political downfall and forced suicide became a notable episode in mid-Tang imperial history.
-
E.
Liu Fang
Liu Fang was a political advisor and official who served the Cao Wei state during China’s Three Kingdoms period, counseling Emperor Cao Rui.
- 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: Wang Feng Triple: [Zhang Ziyi, spouse, Wang Feng]
Generated description
Wang Feng is a prominent Chinese rock musician, singer-songwriter, and music producer known for his influential role in China's contemporary rock scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wang Feng Target entity description: Wang Feng is a prominent Chinese rock musician, singer-songwriter, and music producer known for his influential role in China's contemporary rock scene.
-
A.
Wang Yifang
Wang Yifang is a prominent Chinese experimental physicist known for his leadership in major neutrino experiments and contributions to particle physics.
-
B.
Li Xiuwen
Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
-
C.
Jiang Wenli
Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
-
D.
Li Ying
Li Ying was a Tang dynasty crown prince and the eldest son of Emperor Xuanzong, whose political downfall and forced suicide became a notable episode in mid-Tang imperial history.
-
E.
Liu Fang
Liu Fang was a political advisor and official who served the Cao Wei state during China’s Three Kingdoms period, counseling Emperor Cao Rui.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4830a903481909eaf327457eabf2b |
completed | April 19, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69e485f46f0c81908dbe5b47322ab7b7 |
completed | April 19, 2026, 7:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4878dd95c81908ceaf91ee46f49c1 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.