Triple

T8210823
Position Surface form Disambiguated ID Type / Status
Subject Tu Youyou E191811 entity
Predicate givenName P17 FINISHED
Object Youyou
Youyou is the given name of Tu Youyou, the Chinese pharmaceutical chemist and Nobel laureate renowned for discovering the antimalarial drug artemisinin.
 E718718 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: Youyou | Statement: [Tu Youyou, givenName, Youyou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Youyou
Context triple: [Tu Youyou, givenName, Youyou]
  • A. Youn
    Youn is a Korean family name most prominently associated with acclaimed actress Youn Yuh-jung.
  • B. Yoo
    Yoo is a Korean surname shared by numerous individuals, including notable figures in politics, diplomacy, entertainment, and academia.
  • C. Yoo
    Yoo is a global design and lifestyle brand known for its high-end residential and hotel projects created in collaboration with renowned designers and architects.
  • D. Yo!
    "Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
  • E. The Yo
    The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
  • 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: Youyou
Triple: [Tu Youyou, givenName, Youyou]
Generated description
Youyou is the given name of Tu Youyou, the Chinese pharmaceutical chemist and Nobel laureate renowned for discovering the antimalarial drug artemisinin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Youyou
Target entity description: Youyou is the given name of Tu Youyou, the Chinese pharmaceutical chemist and Nobel laureate renowned for discovering the antimalarial drug artemisinin.
  • A. Youn
    Youn is a Korean family name most prominently associated with acclaimed actress Youn Yuh-jung.
  • B. Yoo
    Yoo is a Korean surname shared by numerous individuals, including notable figures in politics, diplomacy, entertainment, and academia.
  • C. Yoo
    Yoo is a global design and lifestyle brand known for its high-end residential and hotel projects created in collaboration with renowned designers and architects.
  • D. Yo!
    "Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
  • E. The Yo
    The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76dd881c8190adcbeb2f33d3295c completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccede2e4f481908edca856038772d3 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1ba74548190831677bb126bea1a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05d668ac819098195ba5ec26ec76 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:44 p.m.