Triple

T9867730
Position Surface form Disambiguated ID Type / Status
Subject Emperor Ai of Tang E239876 entity
Predicate templeName P44027 FINISHED
Object Aizong
Aizong is the temple name of Emperor Ai of the Tang dynasty, a short-reigning and final ruler associated with the dynasty’s decline.
 E827056 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: Aizong | Statement: [Emperor Ai of Tang, templeName, Aizong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aizong
Context triple: [Emperor Ai of Tang, templeName, Aizong]
  • A. Yizong
    Yizong was the temple name of an emperor of the Tang dynasty who ruled China during the mid-9th century.
  • B. Zhaoge
    Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
  • C. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • D. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • E. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • 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: Aizong
Triple: [Emperor Ai of Tang, templeName, Aizong]
Generated description
Aizong is the temple name of Emperor Ai of the Tang dynasty, a short-reigning and final ruler associated with the dynasty’s decline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aizong
Target entity description: Aizong is the temple name of Emperor Ai of the Tang dynasty, a short-reigning and final ruler associated with the dynasty’s decline.
  • A. Yizong
    Yizong was the temple name of an emperor of the Tang dynasty who ruled China during the mid-9th century.
  • B. Zhaoge
    Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
  • C. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • D. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • E. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e45add0481909a0416035054a563 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e62832b081908de7872f62505f6c completed April 5, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69d1e69041e881909fc31e35e9bfc4f3 completed April 5, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:36 p.m.