Triple

T8533871
Position Surface form Disambiguated ID Type / Status
Subject Kangxi E202022 entity
Predicate child P120 FINISHED
Object Yinreng
Yinreng was the ill-fated Crown Prince of the Qing dynasty under the Kangxi Emperor, whose repeated deposition and eventual disgrace became a major succession crisis in early 18th-century China.
 E741914 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: Yinreng | Statement: [Kangxi, child, Yinreng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yinreng
Context triple: [Kangxi, child, Yinreng]
  • A. Kangchungtse
    Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
  • B. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • C. Lou-lan
    Lou-lan is an ancient Silk Road kingdom and archaeological site located near the former shoreline of Lop Nur in what is now Xinjiang, China.
  • D. Akurgal
    Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
  • E. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • 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: Yinreng
Triple: [Kangxi, child, Yinreng]
Generated description
Yinreng was the ill-fated Crown Prince of the Qing dynasty under the Kangxi Emperor, whose repeated deposition and eventual disgrace became a major succession crisis in early 18th-century China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yinreng
Target entity description: Yinreng was the ill-fated Crown Prince of the Qing dynasty under the Kangxi Emperor, whose repeated deposition and eventual disgrace became a major succession crisis in early 18th-century China.
  • A. Kangchungtse
    Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
  • B. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • C. Lou-lan
    Lou-lan is an ancient Silk Road kingdom and archaeological site located near the former shoreline of Lop Nur in what is now Xinjiang, China.
  • D. Akurgal
    Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
  • E. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d7aa3a881909bfdd3536dbc4ec7 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:17 p.m.