Triple

T19217565
Position Surface form Disambiguated ID Type / Status
Subject Guo Degang E480525 entity
Predicate founded P104 FINISHED
Object 德云社
德云社是一家以传统相声表演为主、在中国极具影响力和商业号召力的相声团体与文化品牌。
 E1365093 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: 德云社 | Statement: [Guo Degang, founded, 德云社]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 德云社
Context triple: [Guo Degang, founded, 德云社]
  • A. Wu Music Group
    Wu Music Group is a record label associated with the Wu-Tang Clan, known for releasing projects by group members and affiliated artists.
  • B. Yuehua Entertainment
    Yuehua Entertainment is a major Chinese entertainment company that manages artists, produces music and television content, and operates in both the Chinese and international markets.
  • C. Zhejiang Tianpeng Culture Media
    Zhejiang Tianpeng Culture Media is a Chinese film and television production company involved in producing major Chinese-language films such as Zhang Yimou’s historical epic "Shadow."
  • D. Xiaoju Kuaizhi
    Xiaoju Kuaizhi is the Chinese technology company behind the Didi ride-hailing platform, operating a range of app-based transportation and mobility services.
  • E. Beijing Xiehe Yiyuan
    Beijing Xiehe Yiyuan is a leading tertiary teaching hospital in Beijing, renowned nationwide for its high-level medical care, research, and affiliation with Peking Union Medical College.
  • 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: 德云社
Triple: [Guo Degang, founded, 德云社]
Generated description
德云社是一家以传统相声表演为主、在中国极具影响力和商业号召力的相声团体与文化品牌。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 德云社
Target entity description: 德云社是一家以传统相声表演为主、在中国极具影响力和商业号召力的相声团体与文化品牌。
  • A. Wu Music Group
    Wu Music Group is a record label associated with the Wu-Tang Clan, known for releasing projects by group members and affiliated artists.
  • B. Yuehua Entertainment
    Yuehua Entertainment is a major Chinese entertainment company that manages artists, produces music and television content, and operates in both the Chinese and international markets.
  • C. Zhejiang Tianpeng Culture Media
    Zhejiang Tianpeng Culture Media is a Chinese film and television production company involved in producing major Chinese-language films such as Zhang Yimou’s historical epic "Shadow."
  • D. Xiaoju Kuaizhi
    Xiaoju Kuaizhi is the Chinese technology company behind the Didi ride-hailing platform, operating a range of app-based transportation and mobility services.
  • E. Beijing Xiehe Yiyuan
    Beijing Xiehe Yiyuan is a leading tertiary teaching hospital in Beijing, renowned nationwide for its high-level medical care, research, and affiliation with Peking Union Medical College.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3c552c8190b22844e5b7adfc50 completed April 20, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700eaa4fc81909270487adaa2872f completed May 15, 2026, 11:18 a.m.
NEDg Description generation batch_6a07016bb570819088cf919e5839535b completed May 15, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0701ee333081909ecefccf59d0294e completed May 15, 2026, 11:22 a.m.
Created at: April 10, 2026, 1:23 p.m.