Triple

T13648767
Position Surface form Disambiguated ID Type / Status
Subject Creation E326672 entity
Predicate featuresHistoricalFigure P643 FINISHED
Object Confucius
Confucius was an influential Chinese philosopher and teacher whose ideas on ethics, governance, and social harmony shaped East Asian culture and thought for over two millennia.
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: [Creation, featuresHistoricalFigure, Confucius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Confucius
Context triple: [Creation, featuresHistoricalFigure, Confucius]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Randolph Hearst, a member of the prominent Hearst family associated with American media and publishing.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of John Kennedy Toole, the American novelist best known for his posthumously published comic masterpiece "A Confederacy of Dunces."
  • E. John
    John is the given name of John Wodehouse, 1st Earl of Kimberley, a prominent 19th-century British Liberal politician and statesman.
  • 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: [Creation, featuresHistoricalFigure, Confucius]
Generated description
Confucius was an influential Chinese philosopher and teacher whose ideas on ethics, governance, and social harmony shaped East Asian culture and thought for over two millennia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Confucius
Target entity description: Confucius was an influential Chinese philosopher and teacher whose ideas on ethics, governance, and social harmony shaped East Asian culture and thought for over two millennia.
  • 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 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 name of the influential British evolutionary biologist and geneticist John Maynard Smith.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78afbf8948190ad38ea7529e52f16 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:52 p.m.