Triple

T9171673
Position Surface form Disambiguated ID Type / Status
Subject Emperor Suzong of Tang E220094 entity
Predicate eraName P2938 FINISHED
Object Qianyuan
Qianyuan was the reign era name used by Emperor Suzong during part of the Tang dynasty in China.
E782717 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 Suzong of Tang, eraName, Qianyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qianyuan
Context triple: [Emperor Suzong of Tang, eraName, Qianyuan]
  • A. Qianyuan
    Qianyuan was a historical era name used during the reign of Emperor Jing of the Western Han dynasty in ancient China.
  • B. 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.
  • C. Tianbao
    Tianbao was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • D. Tianbao
    Tianbao was the reign era of Emperor Xuanzong of the Tang dynasty, marking a period of cultural flourishing that ended with the outbreak of the An Lushan Rebellion.
  • E. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • 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 Suzong of Tang, eraName, Qianyuan]
Generated description
Qianyuan was the reign era name used by Emperor Suzong during part of the Tang dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qianyuan
Target entity description: Qianyuan was the reign era name used by Emperor Suzong during part of the Tang dynasty in China.
  • A. Qianyuan
    Qianyuan was a historical era name used during the reign of Emperor Jing of the Western Han dynasty in ancient China.
  • B. 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.
  • C. Tianbao
    Tianbao was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • D. Tianbao
    Tianbao was the reign era of Emperor Xuanzong of the Tang dynasty, marking a period of cultural flourishing that ended with the outbreak of the An Lushan Rebellion.
  • E. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549746b0819099c2a591900f9c8c completed April 4, 2026, midnight
NEDg Description generation batch_69d0558aeb7c8190a638e81bd0a6b47a completed April 4, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69d0598de6388190a535748893dfb09c completed April 4, 2026, 12:21 a.m.
Created at: March 30, 2026, 7:22 p.m.