Triple
T16614332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhong-Ying Wang |
E403653
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Zhong-Ying
Zhong-Ying is a given name of Chinese origin commonly used for individuals such as Zhong-Ying Wang.
|
E1223612
|
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: Zhong-Ying | Statement: [Zhong-Ying Wang, hasGivenName, Zhong-Ying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhong-Ying Context triple: [Zhong-Ying Wang, hasGivenName, Zhong-Ying]
-
A.
Ziying
Ziying was the last ruler of the Qin dynasty in ancient China, whose brief reign ended with the dynasty’s collapse and the rise of the Han.
-
B.
Yingying
Yingying is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a Tibetan antelope symbolizing health and athleticism.
-
C.
Ying Bu
Ying Bu was a prominent military leader and former general of the Qin dynasty who played a key role in the Chu–Han Contention before eventually rebelling against the Han.
-
D.
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."
-
E.
Yinping
Yinping was a strategically important mountainous region in ancient China, known as a key battleground during the late Three Kingdoms period.
- 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: Zhong-Ying Triple: [Zhong-Ying Wang, hasGivenName, Zhong-Ying]
Generated description
Zhong-Ying is a given name of Chinese origin commonly used for individuals such as Zhong-Ying Wang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhong-Ying Target entity description: Zhong-Ying is a given name of Chinese origin commonly used for individuals such as Zhong-Ying Wang.
-
A.
Ziying
Ziying was the last ruler of the Qin dynasty in ancient China, whose brief reign ended with the dynasty’s collapse and the rise of the Han.
-
B.
Yingying
Yingying is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a Tibetan antelope symbolizing health and athleticism.
-
C.
Ying Bu
Ying Bu was a prominent military leader and former general of the Qin dynasty who played a key role in the Chu–Han Contention before eventually rebelling against the Han.
-
D.
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."
-
E.
Yinping
Yinping was a strategically important mountainous region in ancient China, known as a key battleground during the late Three Kingdoms period.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e360983d2c8190b1fe7f18aedfbde1 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aeaa9881908bdef0f9f2b52e60 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007705f57881908b07a20ae8957c64 |
completed | May 10, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007b18f0b08190a9ddc6ad7358d6b8 |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 10, 2026, 5:17 a.m.