Triple
T17070080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hua Zhou |
E414192
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Hua Xiu
Hua Xiu is a fictional character known as the daughter of Hua Zhou in the Chinese drama "Story of Yanxi Palace."
|
E1250171
|
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: Hua Xiu | Statement: [Hua Zhou, child, Hua Xiu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hua Xiu Context triple: [Hua Zhou, child, Hua Xiu]
-
A.
Xiangmei
Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
-
B.
Xuefei
Xuefei is the Chinese given name of Ha Jin, the acclaimed Chinese-American novelist and poet known for works such as "Waiting."
-
C.
Huangguifei
Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
-
D.
Hexie Hao
Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
-
E.
Xin Zhui
Xin Zhui was a noblewoman of the early Western Han dynasty whose exceptionally well-preserved body and lavish burial at Mawangdui have made her one of the most famous archaeological discoveries in China.
- 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: Hua Xiu Triple: [Hua Zhou, child, Hua Xiu]
Generated description
Hua Xiu is a fictional character known as the daughter of Hua Zhou in the Chinese drama "Story of Yanxi Palace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hua Xiu Target entity description: Hua Xiu is a fictional character known as the daughter of Hua Zhou in the Chinese drama "Story of Yanxi Palace."
-
A.
Xiangmei
Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
-
B.
Xuefei
Xuefei is the Chinese given name of Ha Jin, the acclaimed Chinese-American novelist and poet known for works such as "Waiting."
-
C.
Huangguifei
Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
-
D.
Hexie Hao
Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
-
E.
Xin Zhui
Xin Zhui was a noblewoman of the early Western Han dynasty whose exceptionally well-preserved body and lavish burial at Mawangdui have made her one of the most famous archaeological discoveries in China.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eda04d08190b450fbfc6ccb9054 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01306334088190b6199b9bdd728c3c |
completed | May 11, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01343b21508190bd8dc59765ec7f78 |
completed | May 11, 2026, 1:43 a.m. |
Created at: April 10, 2026, 5:34 a.m.