Triple

T3687186
Position Surface form Disambiguated ID Type / Status
Subject Chongzhen Emperor E78251 entity
Predicate contemporary P6542 FINISHED
Object Hong Taiji E190908 NE FINISHED

How this triple was built (2 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: Hong Taiji | Statement: [Chongzhen Emperor, contemporary, Hong Taiji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Taiji
Context triple: [Chongzhen Emperor, contemporary, Hong Taiji]
  • A. Hong Taiji chosen
    Hong Taiji was a 17th-century Manchu ruler who transformed the Later Jin into the Qing dynasty and laid the foundations for Qing rule over China.
  • B. Shunzhi Emperor
    The Shunzhi Emperor was the early Qing dynasty ruler who oversaw the consolidation of Manchu control over China following the fall of the Ming dynasty.
  • C. Dorgon
    Dorgon was a powerful Manchu prince and regent of the early Qing dynasty who led the conquest of Ming China and helped establish Qing rule over the empire.
  • D. Nurhaci
    Nurhaci was the Jurchen chieftain who unified the Manchu tribes and laid the foundations for the Qing dynasty’s conquest of China.
  • E. Kangxi
    Kangxi was a long-reigning and influential emperor of the Qing dynasty who consolidated imperial power, expanded the empire, and presided over a period of stability and cultural flourishing in China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c7e2bc81909356c8b0ed90feed completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c10f6481908feed99cddc56d47 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.