Triple

T4949141
Position Surface form Disambiguated ID Type / Status
Subject Guo E111124 entity
Predicate hasNotableBearer P458 FINISHED
Object Guo Degang
Guo Degang is a famous Chinese xiangsheng (crosstalk) comedian, actor, and founder of the Deyun Society, known for revitalizing traditional Chinese comedic performance.
E480525 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: Guo Degang | Statement: [Guo, hasNotableBearer, Guo Degang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guo Degang
Context triple: [Guo, hasNotableBearer, Guo Degang]
  • A. Lin Gengxin
    Lin Gengxin is a Chinese actor known for his roles in popular historical dramas and major Chinese blockbusters, including the fantasy-action film "The Great Wall."
  • B. Ding Sheng
    Ding Sheng is a Chinese film director and screenwriter known for his action movies and frequent collaborations with Jackie Chan.
  • C. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • D. Liang Xiaosheng
    Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
  • E. Bo Gu
    Bo Gu was a prominent early Chinese Communist leader who studied in the Soviet Union and briefly served as the Party’s de facto top leader in the early 1930s.
  • 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: Guo Degang
Triple: [Guo, hasNotableBearer, Guo Degang]
Generated description
Guo Degang is a famous Chinese xiangsheng (crosstalk) comedian, actor, and founder of the Deyun Society, known for revitalizing traditional Chinese comedic performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guo Degang
Target entity description: Guo Degang is a famous Chinese xiangsheng (crosstalk) comedian, actor, and founder of the Deyun Society, known for revitalizing traditional Chinese comedic performance.
  • A. Lin Gengxin
    Lin Gengxin is a Chinese actor known for his roles in popular historical dramas and major Chinese blockbusters, including the fantasy-action film "The Great Wall."
  • B. Ding Sheng
    Ding Sheng is a Chinese film director and screenwriter known for his action movies and frequent collaborations with Jackie Chan.
  • C. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • D. Liang Xiaosheng
    Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
  • E. Bo Gu
    Bo Gu was a prominent early Chinese Communist leader who studied in the Soviet Union and briefly served as the Party’s de facto top leader in the early 1930s.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7166bb6c8190a40775ac8bb723a8 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77ca47b481909de9b270f2a2a7af completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be7885bf60819083f6546234c1c40c completed March 21, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_69be78f8baf4819097393d670d217b63 completed March 21, 2026, 10:54 a.m.
Created at: March 20, 2026, 1:31 p.m.