Triple

T14632891
Position Surface form Disambiguated ID Type / Status
Subject Kang Youwei E343525 entity
Predicate influencedBy P9 FINISHED
Object Confucius
Confucius was an ancient Chinese philosopher and teacher whose moral, social, and political ideas became the foundation of Confucianism and deeply shaped East Asian civilization.
E51982 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: Confucius | Statement: [Kang Youwei, influencedBy, Confucius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Confucius
Context triple: [Kang Youwei, influencedBy, Confucius]
  • A. John
    John is the given name of John W. Vessey Jr., a U.S. Army general who served as Chairman of the Joint Chiefs of Staff.
  • B. John
    John is the given first name of the English writer and composer Anthony Burgess, best known as the author of the dystopian novel "A Clockwork Orange."
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the given name of J. Rosamond Johnson, an influential early 20th-century African-American composer and singer associated with the Harlem Renaissance.
  • 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: Confucius
Triple: [Kang Youwei, influencedBy, Confucius]
Generated description
Confucius was an ancient Chinese philosopher and teacher whose moral, social, and political ideas became the foundation of Confucianism and deeply shaped East Asian civilization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Confucius
Target entity description: Confucius was an ancient Chinese philosopher and teacher whose moral, social, and political ideas became the foundation of Confucianism and deeply shaped East Asian civilization.
  • A. Confucius chosen
    Confucius was an ancient Chinese philosopher and teacher whose ethical, social, and political ideas became the foundation of Confucianism and deeply shaped East Asian civilization.
  • B. John
    John is the given name of John W. Vessey Jr., a U.S. Army general who served as Chairman of the Joint Chiefs of Staff.
  • C. John
    John is the given first name of the English writer and composer Anthony Burgess, best known as the author of the dystopian novel "A Clockwork Orange."
  • D. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • E. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • F. None of above.

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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda931834081909d90ec0479eca3f9 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb27c8db481909330d299faded4f3 completed May 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69fdb3b24320819098dd7fab0c3a0507 completed May 8, 2026, 9:58 a.m.
Created at: April 10, 2026, 1:26 a.m.