Triple

T8035704
Position Surface form Disambiguated ID Type / Status
Subject Kung Fu Panda 3 E187101 entity
Predicate mainCharacter P1183 FINISHED
Object Li Shan
Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
 E714993 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: Li Shan | Statement: [Kung Fu Panda 3, mainCharacter, Li Shan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Li Shan
Context triple: [Kung Fu Panda 3, mainCharacter, Li Shan]
  • A. Meng Haoran
    Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
  • B. Liu Ye
    Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
  • C. Yan Xiu
    Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
  • D. Yang Yong
    Yang Yong was a prominent Chinese military general who played key roles in the Chinese Civil War and early People's Republic of China military campaigns.
  • E. Song Shilun
    Song Shilun was a prominent Chinese general of the People’s Volunteer Army during the Korean War, noted for leading Chinese forces in major campaigns against United Nations troops.
  • 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: Li Shan
Triple: [Kung Fu Panda 3, mainCharacter, Li Shan]
Generated description
Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Li Shan
Target entity description: Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
  • A. Meng Haoran
    Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
  • B. Liu Ye
    Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
  • C. Yan Xiu
    Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
  • D. Yang Yong
    Yang Yong was a prominent Chinese military general who played key roles in the Chinese Civil War and early People's Republic of China military campaigns.
  • E. Song Shilun
    Song Shilun was a prominent Chinese general of the People’s Volunteer Army during the Korean War, noted for leading Chinese forces in major campaigns against United Nations troops.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe4211bc8190a784c19f11f17a39 completed April 1, 2026, 6:42 a.m.
NEDg Description generation batch_69ccc24a39f88190995f076d1a7ec3e7 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc37f0ca88190b4e077f23dbbe6f8 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:22 p.m.