Triple

T17006575
Position Surface form Disambiguated ID Type / Status
Subject Chen dynasty E412585 entity
Predicate eraName P2938 FINISHED
Object Taijian
Taijian was a historical Chinese era name used during the Chen dynasty, marking a specific reign period in its imperial chronology.
 E1244493 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: Taijian | Statement: [Chen dynasty, eraName, Taijian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taijian
Context triple: [Chen dynasty, eraName, Taijian]
  • A. Shaowu
    Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
  • B. Jianwu
    Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
  • C. Yujian
    Yujian was the personal name of the Longwu Emperor, a short-lived Ming dynasty claimant who resisted the Qing conquest in southern China.
  • D. Zhiyan
    Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
  • E. Yanshou
    Yanshou was a prominent 10th-century Chinese Chan (Zen) Buddhist monk and scholar known for synthesizing various Buddhist traditions and emphasizing the unity of different paths to enlightenment.
  • 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: Taijian
Triple: [Chen dynasty, eraName, Taijian]
Generated description
Taijian was a historical Chinese era name used during the Chen dynasty, marking a specific reign period in its imperial chronology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taijian
Target entity description: Taijian was a historical Chinese era name used during the Chen dynasty, marking a specific reign period in its imperial chronology.
  • A. Shaowu
    Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
  • B. Jianwu
    Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
  • C. Yujian
    Yujian was the personal name of the Longwu Emperor, a short-lived Ming dynasty claimant who resisted the Qing conquest in southern China.
  • D. Zhiyan
    Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
  • E. Yanshou
    Yanshou was a prominent 10th-century Chinese Chan (Zen) Buddhist monk and scholar known for synthesizing various Buddhist traditions and emphasizing the unity of different paths to enlightenment.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3831268819089286053a5acf653 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc222d108190934ef2b3aa46aa22 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d7d03c8190943777f4eac956fd completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a01159a08b081908fc82adc7cca532a completed May 10, 2026, 11:32 p.m.
Created at: April 10, 2026, 5:32 a.m.