Triple

T8173459
Position Surface form Disambiguated ID Type / Status
Subject Mozi E190881 entity
Predicate alternateName P39 FINISHED
Object Mo Tzu
Mo Tzu was an influential ancient Chinese philosopher and founder of Mohism, known for advocating universal love, meritocracy, and opposition to offensive warfare.
 E716175 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: Mo Tzu | Statement: [Mozi, alternateName, Mo Tzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mo Tzu
Context triple: [Mozi, alternateName, Mo Tzu]
  • A. Chi-Fu
    Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
  • B. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • C. Shiing-Shen
    Shiing-Shen Chern was a Chinese-American mathematician renowned for his foundational contributions to differential geometry and the development of Chern classes in topology.
  • D. Uncle Ho
    Uncle Ho is the affectionate nickname for Ho Chi Minh, the revolutionary leader and founding father of modern Vietnam.
  • E. Zhi
    Zhi is a component or subpart of the larger entity or system known as Zhizhong.
  • 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: Mo Tzu
Triple: [Mozi, alternateName, Mo Tzu]
Generated description
Mo Tzu was an influential ancient Chinese philosopher and founder of Mohism, known for advocating universal love, meritocracy, and opposition to offensive warfare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mo Tzu
Target entity description: Mo Tzu was an influential ancient Chinese philosopher and founder of Mohism, known for advocating universal love, meritocracy, and opposition to offensive warfare.
  • A. Chi-Fu
    Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
  • B. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • C. Shiing-Shen
    Shiing-Shen Chern was a Chinese-American mathematician renowned for his foundational contributions to differential geometry and the development of Chern classes in topology.
  • D. Uncle Ho
    Uncle Ho is the affectionate nickname for Ho Chi Minh, the revolutionary leader and founding father of modern Vietnam.
  • E. Zhi
    Zhi is a component or subpart of the larger entity or system known as Zhizhong.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48092b348190a37cb3746a434094 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf65ed508190abb60f9189f43e5c completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc312a8608190b899394752ef375f completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd84893488190ae5376524650d5c4 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:39 p.m.