Triple

T13634067
Position Surface form Disambiguated ID Type / Status
Subject Yu Youren E325801 entity
Predicate givenName P17 FINISHED
Object Youren
Youren is the given name of Yu Youren, a prominent Chinese calligrapher, educator, and politician of the 20th century.
E1051985 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: Youren | Statement: [Yu Youren, givenName, Youren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youren
Context triple: [Yu Youren, givenName, Youren]
  • A. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • B. Youlan
    Youlan was a Qing dynasty noblewoman best known as the mother of Puyi, the last emperor of China.
  • C. Lilliwaup
    Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • E. Dumbrille
    Dumbrille is a surname most notably associated with Canadian character actor Douglass Dumbrille, known for his prolific work in early Hollywood films.
  • 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: Youren
Triple: [Yu Youren, givenName, Youren]
Generated description
Youren is the given name of Yu Youren, a prominent Chinese calligrapher, educator, and politician of the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Youren
Target entity description: Youren is the given name of Yu Youren, a prominent Chinese calligrapher, educator, and politician of the 20th century.
  • A. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • B. Youlan
    Youlan was a Qing dynasty noblewoman best known as the mother of Puyi, the last emperor of China.
  • C. Lilliwaup
    Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • E. Dumbrille
    Dumbrille is a surname most notably associated with Canadian character actor Douglass Dumbrille, known for his prolific work in early Hollywood films.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fac7eac81909338f3b21baf7112 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780850ffc8190b41b3ff7ca35494f completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:51 p.m.