Triple

T16412169
Position Surface form Disambiguated ID Type / Status
Subject Emperor Aizong of Jin E398592 entity
Predicate templeName P44027 FINISHED
Object Aizong
Aizong was the temple name of Emperor Aizong of Jin, a ruler of the Jurchen-led Jin dynasty in northern China during the early 13th century.
 E1212743 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 Aizong of Jin, templeName, Aizong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aizong
Context triple: [Emperor Aizong of Jin, templeName, Aizong]
  • A. 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.
  • B. Yizong
    Yizong was the temple name of an emperor of the Tang dynasty who ruled China during the mid-9th century.
  • C. Gaochi
    Gaochi is the given name of Zhu Gaochi, the Ming dynasty emperor known posthumously as the Hongxi Emperor.
  • D. Zhaoge
    Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
  • E. Muzong
    Muzong is the temple name of the Tongzhi Emperor, a Qing dynasty ruler who reigned briefly in the late 19th century during a period of internal rebellion and external pressure on China.
  • 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 Aizong of Jin, templeName, Aizong]
Generated description
Aizong was the temple name of Emperor Aizong of Jin, a ruler of the Jurchen-led Jin dynasty in northern China during the early 13th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aizong
Target entity description: Aizong was the temple name of Emperor Aizong of Jin, a ruler of the Jurchen-led Jin dynasty in northern China during the early 13th century.
  • A. 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.
  • B. Yizong
    Yizong was the temple name of an emperor of the Tang dynasty who ruled China during the mid-9th century.
  • C. Gaochi
    Gaochi is the given name of Zhu Gaochi, the Ming dynasty emperor known posthumously as the Hongxi Emperor.
  • D. Zhaoge
    Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
  • E. Muzong
    Muzong is the temple name of the Tongzhi Emperor, a Qing dynasty ruler who reigned briefly in the late 19th century during a period of internal rebellion and external pressure on China.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457d9f4081908a5f28eeafc44695 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00469f5d8081908c21fc30dcb5d5b8 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0047322384819082a95f9a6f5a53fc completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 5:09 a.m.