Triple

T4879988
Position Surface form Disambiguated ID Type / Status
Subject Yuja Wang E109299 entity
Predicate givenName P17 FINISHED
Object Yuja
Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
E477043 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: Yuja | Statement: [Yuja Wang, givenName, Yuja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuja
Context triple: [Yuja Wang, givenName, Yuja]
  • A. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • B. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Juché
    Juché is an alternative spelling of Juche, the North Korean state ideology centered on self-reliance and the absolute leadership of the Kim dynasty.
  • E. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • 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: Yuja
Triple: [Yuja Wang, givenName, Yuja]
Generated description
Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yuja
Target entity description: Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
  • A. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • B. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Juché
    Juché is an alternative spelling of Juche, the North Korean state ideology centered on self-reliance and the absolute leadership of the Kim dynasty.
  • E. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dc071d4819083ea9fd0c73c5f49 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6803a1c081908972984241276c19 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6aadda048190a5b9276f59080b3e completed March 21, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69be6b0e7ca08190861992a251b3dbd9 completed March 21, 2026, 9:55 a.m.
Created at: March 20, 2026, 1:27 p.m.