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.