Triple

T1793083
Position Surface form Disambiguated ID Type / Status
Subject AlphaGo E39541 entity
Predicate opponent P437 FINISHED
Object Ke Jie
Ke Jie is a Chinese professional Go player widely regarded as one of the strongest players of his generation.
E203072 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: Ke Jie | Statement: [AlphaGo, opponent, Ke Jie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ke Jie
Context triple: [AlphaGo, opponent, Ke Jie]
  • A. Lee Sedol
    Lee Sedol is a South Korean professional Go player renowned as one of the strongest players in history and for his landmark 2016 match against DeepMind's AlphaGo.
  • B. Ma Long
    Ma Long is a Chinese table tennis player widely regarded as one of the greatest in the sport’s history, with multiple Olympic and World Championship titles.
  • C. Jianhang Jin
    Jianhang Jin is a Chinese entrepreneur best known as a co-founder and early leader of the e-commerce and technology conglomerate Alibaba Group.
  • D. Yao Yecheng
    Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
  • E. Sun Wen
    Sun Wen is another name for Sun Yat-sen, the revolutionary leader often called the "Father of Modern China" for his key role in overthrowing the Qing dynasty and founding the Republic of China.
  • 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: Ke Jie
Triple: [AlphaGo, opponent, Ke Jie]
Generated description
Ke Jie is a Chinese professional Go player widely regarded as one of the strongest players of his generation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ke Jie
Target entity description: Ke Jie is a Chinese professional Go player widely regarded as one of the strongest players of his generation.
  • A. Lee Sedol
    Lee Sedol is a South Korean professional Go player renowned as one of the strongest players in history and for his landmark 2016 match against DeepMind's AlphaGo.
  • B. Ma Long
    Ma Long is a Chinese table tennis player widely regarded as one of the greatest in the sport’s history, with multiple Olympic and World Championship titles.
  • C. Jianhang Jin
    Jianhang Jin is a Chinese entrepreneur best known as a co-founder and early leader of the e-commerce and technology conglomerate Alibaba Group.
  • D. Yao Yecheng
    Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
  • E. Sun Wen
    Sun Wen is another name for Sun Yat-sen, the revolutionary leader often called the "Father of Modern China" for his key role in overthrowing the Qing dynasty and founding the Republic of China.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653b02448190bc475bc22187f5b0 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf54330c81908046b519a0297760 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adbff135188190908058a2e2d41a1e completed March 8, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69adc0832cd881909702f380412702d5 completed March 8, 2026, 6:31 p.m.
Created at: March 4, 2026, 7:32 p.m.