Triple

T8113281
Position Surface form Disambiguated ID Type / Status
Subject Kung Fu Panda 4 E189407 entity
Predicate character P662 FINISHED
Object Zhen
Zhen is a clever and agile fox thief who becomes Po’s new student and ally in the animated film "Kung Fu Panda 4."
 E712908 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: Zhen | Statement: [Kung Fu Panda 4, character, Zhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhen
Context triple: [Kung Fu Panda 4, character, Zhen]
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Zhan
    Zhan is a Chinese surname and given name represented in pinyin, corresponding to one of several Chinese characters and family lineages.
  • C. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • D. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • E. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • 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: Zhen
Triple: [Kung Fu Panda 4, character, Zhen]
Generated description
Zhen is a clever and agile fox thief who becomes Po’s new student and ally in the animated film "Kung Fu Panda 4."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhen
Target entity description: Zhen is a clever and agile fox thief who becomes Po’s new student and ally in the animated film "Kung Fu Panda 4."
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Zhan
    Zhan is a Chinese surname and given name represented in pinyin, corresponding to one of several Chinese characters and family lineages.
  • C. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • D. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • E. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432d7dfc8190b9c980f32c7b4623 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9433a5848190aac09a2589061b53 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc963fe2f8819098ad6a726e226189 completed April 1, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69cc97781c0481909d21293633d111be completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.