Triple

T10173935
Position Surface form Disambiguated ID Type / Status
Subject Du Yuming E235801 entity
Predicate givenName P17 FINISHED
Object Yuming
Yuming is a Chinese given name shared by various individuals across different fields.
 E844823 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: Yuming | Statement: [Du Yuming, givenName, Yuming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuming
Context triple: [Du Yuming, givenName, Yuming]
  • A. Mingze
    Mingze is the given name of Xi Jinping’s daughter, Xi Mingze, who is known for maintaining a very private life despite her father’s prominent political role in China.
  • B. Haiming
    Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
  • C. Haiming
    Haiming is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular outdoor recreation areas.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • 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: Yuming
Triple: [Du Yuming, givenName, Yuming]
Generated description
Yuming is a Chinese given name shared by various individuals across different fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuming
Target entity description: Yuming is a Chinese given name shared by various individuals across different fields.
  • A. Mingze
    Mingze is the given name of Xi Jinping’s daughter, Xi Mingze, who is known for maintaining a very private life despite her father’s prominent political role in China.
  • B. Haiming
    Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
  • C. Haiming
    Haiming is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular outdoor recreation areas.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3010c386481908bc0c985c0b5ff93 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d30256ee40819098569b37eb27d3d1 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d302d248e08190b6b7bae9343b6f9a completed April 6, 2026, 12:48 a.m.
Created at: March 30, 2026, 9:11 p.m.