Triple

T7436445
Position Surface form Disambiguated ID Type / Status
Subject Wolf Totem E171626 entity
Predicate leadActor P1507 FINISHED
Object Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
 E664441 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: Feng Shaofeng | Statement: [Wolf Totem, leadActor, Feng Shaofeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feng Shaofeng
Context triple: [Wolf Totem, leadActor, Feng Shaofeng]
  • A. Lu Wei
    Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
  • B. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • C. Li Shuxian
    Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
  • D. Chi Yufeng
    Chi Yufeng is a Chinese entrepreneur best known as the founder of the entertainment and gaming company Perfect World Co., Ltd.
  • E. Chen Zilong
    Chen Zilong was a late Ming dynasty Chinese poet and scholar known for his refined lyrical style and loyalist stance during the dynasty’s collapse.
  • 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: Feng Shaofeng
Triple: [Wolf Totem, leadActor, Feng Shaofeng]
Generated description
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feng Shaofeng
Target entity description: Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
  • A. Lu Wei
    Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
  • B. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • C. Li Shuxian
    Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
  • D. Chi Yufeng
    Chi Yufeng is a Chinese entrepreneur best known as the founder of the entertainment and gaming company Perfect World Co., Ltd.
  • E. Chen Zilong
    Chen Zilong was a late Ming dynasty Chinese poet and scholar known for his refined lyrical style and loyalist stance during the dynasty’s collapse.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8278670bc819095bdbcc0837b6716 completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c82891efc08190befa56a6f0338835 completed March 28, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c82926c16c8190adf364f7b9d3c149 completed March 28, 2026, 7:16 p.m.
Created at: March 27, 2026, 3:13 p.m.