Triple

T2116239
Position Surface form Disambiguated ID Type / Status
Subject Li Zongren E43816 entity
Predicate givenName P17 FINISHED
Object Zongren
Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
E237081 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: Zongren | Statement: [Li Zongren, givenName, Zongren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zongren
Context triple: [Li Zongren, givenName, Zongren]
  • A. He Zun
    He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
  • B. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • C. Zhang Ding
    Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of China.
  • D. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • E. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures 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: Zongren
Triple: [Li Zongren, givenName, Zongren]
Generated description
Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zongren
Target entity description: Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • A. He Zun
    He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
  • B. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • C. Zhang Ding
    Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of China.
  • D. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • E. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2dfd3c81909b5e2996bc324301 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5194abec8190aab8b7a9ef98da92 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae524946f881908452e7f414962e70 completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae529f2e508190b7483b70c9dbf9f9 completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:43 p.m.