Triple

T5744585
Position Surface form Disambiguated ID Type / Status
Subject Deng Hua E126698 entity
Predicate givenName P17 FINISHED
Object Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
 E546083 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 | Statement: [Deng Hua, givenName, Hua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hua
Context triple: [Deng Hua, givenName, Hua]
  • A. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • B. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Huating
    Huating is a historical town that once served as the name and administrative center of what is now Shanghai’s Songjiang District.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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
Triple: [Deng Hua, givenName, Hua]
Generated description
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hua
Target entity description: Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • A. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • B. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Huating
    Huating is a historical town that once served as the name and administrative center of what is now Shanghai’s Songjiang District.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025883b608190b21523da2afde218 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e27ba848190b0c289a804b865cd completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08d9d479c8190a18f190dcfcadba2 completed March 23, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69c08e3b05a881909892ce776309920d completed March 23, 2026, 12:50 a.m.
Created at: March 22, 2026, 3:48 p.m.