Triple

T12408807
Position Surface form Disambiguated ID Type / Status
Subject Yan Zhengzai E296459 entity
Predicate child P120 FINISHED
Object Confucius
Confucius was an influential Chinese philosopher and teacher whose ideas on ethics, governance, and social harmony shaped East Asian thought and culture for centuries.
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: [Yan Zhengzai, child, Confucius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Confucius
Context triple: [Yan Zhengzai, child, Confucius]
  • A. 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."
  • B. John
    John is the given name of John R. Steelman, an American administrator who served as a key aide to President Harry S. Truman.
  • 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 John D. Hunter, the American scientist and software developer best known for creating the Matplotlib plotting library for Python.
  • 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: [Yan Zhengzai, child, Confucius]
Generated description
Confucius was an influential Chinese philosopher and teacher whose ideas on ethics, governance, and social harmony shaped East Asian thought and culture for centuries.
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 thought and culture for centuries.
  • 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 John R. Steelman, an American administrator who served as a key aide to President Harry S. Truman.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4a08e0819085c656e35038e6b2 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.