Triple

T7925670
Position Surface form Disambiguated ID Type / Status
Subject Emperor Jing of Han E184053 entity
Predicate eraName P2938 FINISHED
Object Qianyuan
Qianyuan was a historical era name used during the reign of Emperor Jing of the Western Han dynasty in ancient China.
E698101 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: Qianyuan | Statement: [Emperor Jing of Han, eraName, Qianyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qianyuan
Context triple: [Emperor Jing of Han, eraName, Qianyuan]
  • A. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • B. Tianbao
    Tianbao was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • D. Bianliang
    Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • E. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • 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: Qianyuan
Triple: [Emperor Jing of Han, eraName, Qianyuan]
Generated description
Qianyuan was a historical era name used during the reign of Emperor Jing of the Western Han dynasty in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qianyuan
Target entity description: Qianyuan was a historical era name used during the reign of Emperor Jing of the Western Han dynasty in ancient China.
  • A. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • B. Tianbao
    Tianbao was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • D. Bianliang
    Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • E. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aad48908190911905b4635bf01e completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf89a0c81908e1cb988c0bc1d62 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.