Triple

T17630943
Position Surface form Disambiguated ID Type / Status
Subject Tuoba Gui E429972 entity
Predicate mother P120 FINISHED
Object Lady Liu
Lady Liu was the mother of Tuoba Gui, the founding emperor of the Northern Wei dynasty in ancient China.
E1279133 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: Lady Liu | Statement: [Tuoba Gui, mother, Lady Liu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Liu
Context triple: [Tuoba Gui, mother, Lady Liu]
  • A. Lady Liu
    Lady Liu was the mother of Emperor Gaozu of Han, founder of China’s Han dynasty, and a matriarchal figure in early imperial Han history.
  • B. Lady Liu
    Lady Liu was the mother of Zhu Yousong, the Hongguang Emperor and first emperor of the Southern Ming dynasty in 17th-century China.
  • C. Lady Wang
    Lady Wang was a Ming dynasty noblewoman best known as the consort of the Taichang Emperor and the mother of the Tianqi Emperor.
  • D. Lady Wang
    Lady Wang was a consort of the Jin dynasty imperial family best known as the mother of Emperor Zhangzong of Jin.
  • E. Lady Wang
    Lady Wang was the mother of Emperor Xian, the last emperor of the Eastern Han dynasty in ancient 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: Lady Liu
Triple: [Tuoba Gui, mother, Lady Liu]
Generated description
Lady Liu was the mother of Tuoba Gui, the founding emperor of the Northern Wei dynasty in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lady Liu
Target entity description: Lady Liu was the mother of Tuoba Gui, the founding emperor of the Northern Wei dynasty in ancient China.
  • A. Lady Liu
    Lady Liu was the mother of Emperor Gaozu of Han, founder of China’s Han dynasty, and a matriarchal figure in early imperial Han history.
  • B. Lady Liu
    Lady Liu was the mother of Zhu Yousong, the Hongguang Emperor and first emperor of the Southern Ming dynasty in 17th-century China.
  • C. Lady Wang
    Lady Wang was a Ming dynasty noblewoman best known as the consort of the Taichang Emperor and the mother of the Tianqi Emperor.
  • D. Lady Wang
    Lady Wang was a consort of the Jin dynasty imperial family best known as the mother of Emperor Zhangzong of Jin.
  • E. Lady Wang
    Lady Wang was the mother of Emperor Xian, the last emperor of the Eastern Han dynasty in ancient 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc192dc8190854f1fe5d5ed696a completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a9d79c8819089e2db35ee4d02f7 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b6fc2908190a2e4c54f20f1fa1f completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bf5d45c819097fc5a516587263c completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 5:52 a.m.