Triple

T18467838
Position Surface form Disambiguated ID Type / Status
Subject Tugh Temür E451210 entity
Predicate mother P120 FINISHED
Object Empress Zhenge
Empress Zhenge was a Yuan dynasty imperial consort best known as the mother of Emperor Tugh Temür of China.
 E1399164 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: Empress Zhenge | Statement: [Tugh Temür, mother, Empress Zhenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Empress Zhenge
Context triple: [Tugh Temür, mother, Empress Zhenge]
  • A. Empress Qiansheng
    Empress Qiansheng was a Chinese imperial consort who held the title of empress before Empress Xiaojing during a historical dynasty.
  • B. Empress Wan
    Empress Wan was a powerful and controversial consort of the Ming dynasty’s Chenghua Emperor, known for her significant influence at court and her unusually long tenure as his favored partner.
  • C. Empress Zheng
    Empress Zheng was a consort of Emperor Huizong of the Song dynasty who rose to become his empress and played a significant role in the imperial court during his reign.
  • D. Empress Zhu
    Empress Zhu was the wife and empress consort of Sun Xiu, an emperor of Eastern Wu during China’s Three Kingdoms period.
  • E. Empress Xiaoyi
    Empress Xiaoyi was a Qing dynasty empress consort of the Qianlong Emperor and the mother of his successor, the Jiaqing Emperor.
  • 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: Empress Zhenge
Triple: [Tugh Temür, mother, Empress Zhenge]
Generated description
Empress Zhenge was a Yuan dynasty imperial consort best known as the mother of Emperor Tugh Temür of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Empress Zhenge
Target entity description: Empress Zhenge was a Yuan dynasty imperial consort best known as the mother of Emperor Tugh Temür of China.
  • A. Empress Qiansheng
    Empress Qiansheng was a Chinese imperial consort who held the title of empress before Empress Xiaojing during a historical dynasty.
  • B. Empress Wan
    Empress Wan was a powerful and controversial consort of the Ming dynasty’s Chenghua Emperor, known for her significant influence at court and her unusually long tenure as his favored partner.
  • C. Empress Zheng
    Empress Zheng was a consort of Emperor Huizong of the Song dynasty who rose to become his empress and played a significant role in the imperial court during his reign.
  • D. Empress Zhu
    Empress Zhu was the wife and empress consort of Sun Xiu, an emperor of Eastern Wu during China’s Three Kingdoms period.
  • E. Empress Xiaoyi
    Empress Xiaoyi was a Qing dynasty empress consort of the Qianlong Emperor and the mother of his successor, the Jiaqing Emperor.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a8459f88190a54cae4c8cb05119 completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d41e00d88190a0cf2c1dd598f551 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d81e5bc881909b109afa7cf71384 completed May 16, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a07d91c50648190a2a9f13daad545fd completed May 16, 2026, 2:40 a.m.
Created at: April 10, 2026, 11:34 a.m.