Triple

T1863069
Position Surface form Disambiguated ID Type / Status
Subject Zhou Enlai E34858 entity
Predicate givenName P17 FINISHED
Object 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.
 E208539 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: Enlai | Statement: [Zhou Enlai, givenName, Enlai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enlai
Context triple: [Zhou Enlai, givenName, Enlai]
  • A. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • 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. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. 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.
  • E. Zhuanxu
    Zhuanxu is a legendary ancient Chinese emperor and cultural hero, traditionally regarded as one of the Five Emperors and an important ancestral figure in early Chinese myth and royal genealogies.
  • 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: Enlai
Triple: [Zhou Enlai, givenName, Enlai]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enlai
Target entity description: 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.
  • A. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • 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. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. 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.
  • E. Zhuanxu
    Zhuanxu is a legendary ancient Chinese emperor and cultural hero, traditionally regarded as one of the Five Emperors and an important ancestral figure in early Chinese myth and royal genealogies.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09f856c8190807a7cf2a5f49fcb completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d2d2d48190b2234d1ec9ba9085 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add28a8f848190bf6ea0924e7dd9fc completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add37ad9a481908b2a1476a8d33091 completed March 8, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:34 p.m.