Triple

T15394678
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xiaojing E368142 entity
Predicate templeName P44027 FINISHED
Object Xiaojing
Xiaojing is the temple name of a Chinese emperor historically honored in ancestral rites and official records.
 E1154903 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: Xiaojing | Statement: [Emperor Xiaojing, templeName, Xiaojing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaojing
Context triple: [Emperor Xiaojing, templeName, Xiaojing]
  • A. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • B. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • C. Jing
    Jing is the painted-face role type in Peking opera, known for its forceful singing, exaggerated facial makeup, and bold, authoritative characters.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Jing
    Jing is the posthumous name of Sun Liang, an emperor of Eastern Wu during China’s Three Kingdoms period.
  • 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: Xiaojing
Triple: [Emperor Xiaojing, templeName, Xiaojing]
Generated description
Xiaojing is the temple name of a Chinese emperor historically honored in ancestral rites and official records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaojing
Target entity description: Xiaojing is the temple name of a Chinese emperor historically honored in ancestral rites and official records.
  • A. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • B. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • C. Jing
    Jing is the painted-face role type in Peking opera, known for its forceful singing, exaggerated facial makeup, and bold, authoritative characters.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Jing
    Jing is the posthumous name of Sun Liang, an emperor of Eastern Wu during China’s Three Kingdoms period.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13523f548190beafd130f8741465 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141b025c8190ac5ac9400ff36133 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff1519100c819083ee0342bf25d89e completed May 9, 2026, 11:06 a.m.
Created at: April 10, 2026, 3:19 a.m.