Triple

T17630940
Position Surface form Disambiguated ID Type / Status
Subject Tuoba Gui E429972 entity
Predicate titleBeforeEmperor P79021 FINISHED
Object Prince of Dai
Prince of Dai was a noble title held by Tuoba Gui before he founded the Northern Wei dynasty in early medieval China.
 E1279132 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: Prince of Dai | Statement: [Tuoba Gui, titleBeforeEmperor, Prince of Dai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prince of Dai
Context triple: [Tuoba Gui, titleBeforeEmperor, Prince of Dai]
  • A. Prince of Dai
    Prince of Dai was the noble title held by Liu Heng before he became Emperor Wen of the Western Han dynasty in ancient China.
  • B. Prince of Duan
    Prince of Duan was the noble title held by Emperor Huizong of the Song dynasty before he ascended the throne.
  • C. Prince of Anxi
    Prince of Anxi was a Yuan dynasty princely title associated with the Mongol imperial family, notably held by Manggala, a son of Kublai Khan.
  • D. Prince of Shuya
    Prince of Shuya was a hereditary noble title borne by members of the Russian Rurikid Shuisky family, associated with their princely domain around the town of Shuya.
  • E. Prince of Yan
    Prince of Yan was the noble title held by Zhu Di before he became the Yongle Emperor of the Ming dynasty.
  • 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: Prince of Dai
Triple: [Tuoba Gui, titleBeforeEmperor, Prince of Dai]
Generated description
Prince of Dai was a noble title held by Tuoba Gui before he founded the Northern Wei dynasty in early medieval China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prince of Dai
Target entity description: Prince of Dai was a noble title held by Tuoba Gui before he founded the Northern Wei dynasty in early medieval China.
  • A. Prince of Dai
    Prince of Dai was the noble title held by Liu Heng before he became Emperor Wen of the Western Han dynasty in ancient China.
  • B. Prince of Duan
    Prince of Duan was the noble title held by Emperor Huizong of the Song dynasty before he ascended the throne.
  • C. Prince of Anxi
    Prince of Anxi was a Yuan dynasty princely title associated with the Mongol imperial family, notably held by Manggala, a son of Kublai Khan.
  • D. Prince of Shuya
    Prince of Shuya was a hereditary noble title borne by members of the Russian Rurikid Shuisky family, associated with their princely domain around the town of Shuya.
  • E. Prince of Yan
    Prince of Yan was the noble title held by Zhu Di before he became the Yongle Emperor of the Ming dynasty.
  • 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.