Triple

T15459414
Position Surface form Disambiguated ID Type / Status
Subject Liu E371857 entity
Predicate scriptForm P9329 FINISHED
Object 刘
刘 is a common Chinese surname and given name character, historically associated with several prominent clans and figures in Chinese history.
 E1157469 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: 刘 | Statement: [Liu, scriptForm, 刘]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 刘
Context triple: [Liu, scriptForm, 刘]
  • A. 趙
    趙 is a common Chinese surname with historical roots in ancient China, notably associated with the State of Zhao during the Warring States period.
  • B. Liu Bian
    Liu Bian was a briefly reigning, deposed emperor of the late Eastern Han dynasty whose overthrow marked the beginning of the dynasty’s final collapse.
  • C. Gaozu
    Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
  • D. Gaozu
    Gaozu was the temple name of Emperor Gaozu of Tang, the founder and first emperor of China’s Tang dynasty.
  • E. 太祖
    太祖 is the posthumous temple name honoring Tang of Shang, the founding king of China’s Shang 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: 刘
Triple: [Liu, scriptForm, 刘]
Generated description
刘 is a common Chinese surname and given name character, historically associated with several prominent clans and figures in Chinese history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 刘
Target entity description: 刘 is a common Chinese surname and given name character, historically associated with several prominent clans and figures in Chinese history.
  • A. 趙
    趙 is a common Chinese surname with historical roots in ancient China, notably associated with the State of Zhao during the Warring States period.
  • B. Liu Bian
    Liu Bian was a briefly reigning, deposed emperor of the late Eastern Han dynasty whose overthrow marked the beginning of the dynasty’s final collapse.
  • C. Gaozu
    Gaozu was the temple name of Emperor Gaozu of Tang, the founder and first emperor of China’s Tang dynasty.
  • D. Gaozu
    Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
  • E. 太祖
    太祖 is the posthumous temple name honoring Tang of Shang, the founding king of China’s Shang 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1623f0819086f6fc2bfd536609 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b9817c819082e5c571b08bafb5 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff2299ac9481909ad213ff5bb01db3 completed May 9, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff2325e6a48190bee256ef8720ba8e completed May 9, 2026, 12:05 p.m.
Created at: April 10, 2026, 3:32 a.m.