Triple

T4705807
Position Surface form Disambiguated ID Type / Status
Subject Cai Guo-Qiang E104388 entity
Predicate familyName P18 FINISHED
Object Cai
Cai is a common Chinese surname shared by numerous individuals, including the contemporary artist Cai Guo-Qiang.
 E463696 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: Cai | Statement: [Cai Guo-Qiang, familyName, Cai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cai
Context triple: [Cai Guo-Qiang, familyName, Cai]
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Pei
    Pei is the family name of I. M. Pei, the renowned Chinese-American architect known for designing landmarks such as the Louvre Pyramid in Paris.
  • C. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • D. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • E. 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.
  • 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: Cai
Triple: [Cai Guo-Qiang, familyName, Cai]
Generated description
Cai is a common Chinese surname shared by numerous individuals, including the contemporary artist Cai Guo-Qiang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cai
Target entity description: Cai is a common Chinese surname shared by numerous individuals, including the contemporary artist Cai Guo-Qiang.
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Pei
    Pei is the family name of I. M. Pei, the renowned Chinese-American architect known for designing landmarks such as the Louvre Pyramid in Paris.
  • C. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • D. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • E. 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.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63e808c88190877e98408498fb62 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1067c6a081909fa06689ea66a8a4 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be133c5a8c8190b3c0f066c4ab44a9 completed March 21, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69be13cafd1c8190aec0efe6328c25b8 completed March 21, 2026, 3:43 a.m.
Created at: March 20, 2026, 1:17 p.m.