Triple

T9928120
Position Surface form Disambiguated ID Type / Status
Subject Shunzhi Emperor E192574 entity
Predicate regent P6804 FINISHED
Object Dorgon E281407 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: Dorgon | Statement: [Shunzhi Emperor, regent, Dorgon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorgon
Context triple: [Shunzhi Emperor, regent, Dorgon]
  • A. Dorgon chosen
    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.
  • B. Hong Taiji
    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.
  • C. Nurhaci
    Nurhaci was the Jurchen chieftain who unified the Manchu tribes and laid the foundations for the Qing dynasty’s conquest of China.
  • D. Batu Khan
    Batu Khan was a 13th-century Mongol ruler and military commander who founded the Golden Horde and led the Mongol invasions of Eastern Europe.
  • E. Esen Taishi
    Esen Taishi was a powerful 15th-century Oirat Mongol leader who briefly unified much of Mongolia and Central Asia and even captured the Ming emperor Zhengtong in 1449.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
Created at: March 30, 2026, 8:43 p.m.