Triple

T9889661
Position Surface form Disambiguated ID Type / Status
Subject Small Seal Script E181420 entity
Predicate followedBy P78 FINISHED
Object Lishu
Lishu is an ancient Chinese clerical script that emerged during the Qin and Han dynasties, marking a key transition from earlier seal scripts to more regular, standardized writing forms.
 E827534 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: Lishu | Statement: [Small Seal Script, followedBy, Lishu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lishu
Context triple: [Small Seal Script, followedBy, Lishu]
  • A. Li Shu
    Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • D. Lingzhao
    Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
  • E. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • 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: Lishu
Triple: [Small Seal Script, followedBy, Lishu]
Generated description
Lishu is an ancient Chinese clerical script that emerged during the Qin and Han dynasties, marking a key transition from earlier seal scripts to more regular, standardized writing forms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lishu
Target entity description: Lishu is an ancient Chinese clerical script that emerged during the Qin and Han dynasties, marking a key transition from earlier seal scripts to more regular, standardized writing forms.
  • A. Li Shu
    Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • D. Lingzhao
    Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
  • E. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47be2988190811a99dc56ae542a completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb08075c81908e017df8048daba8 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1eca8703c8190a473fdafa2a2d273 completed April 5, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed2a1318819087a5b787724fa10c completed April 5, 2026, 5:03 a.m.
Created at: March 30, 2026, 8:39 p.m.