Triple

T6174395
Position Surface form Disambiguated ID Type / Status
Subject Liu Xiaobo E137782 entity
Predicate givenName P17 FINISHED
Object Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
 E573028 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: Xiaobo | Statement: [Liu Xiaobo, givenName, Xiaobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaobo
Context triple: [Liu Xiaobo, givenName, Xiaobo]
  • A. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • B. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • C. Xiao Hua
    Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
  • D. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • 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: Xiaobo
Triple: [Liu Xiaobo, givenName, Xiaobo]
Generated description
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaobo
Target entity description: Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • A. Lo Xiaohu
    Lo Xiaohu is a passionate young desert bandit and romantic hero in the film "Crouching Tiger, Hidden Dragon," known for his intense relationship with Jen Yu and his quest for redemption.
  • B. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • C. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • D. Xiao Hua
    Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
  • E. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc55b5c819084482b735771c9a8 completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141b200788190bd8d968edba53e5f completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c148476d2481909da6cebc4f0422e2 completed March 23, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69c148c2be64819099170df84a904eb9 completed March 23, 2026, 2:05 p.m.
Created at: March 22, 2026, 4:18 p.m.