Triple

T3507177
Position Surface form Disambiguated ID Type / Status
Subject MNIST E74103 entity
Predicate creator P184 FINISHED
Object Christopher J. C. Burges
Christopher J. C. Burges is a computer scientist and machine learning researcher known for his contributions to pattern recognition and support vector machines.
E365303 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: Christopher J. C. Burges | Statement: [MNIST, creator, Christopher J. C. Burges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher J. C. Burges
Context triple: [MNIST, creator, Christopher J. C. Burges]
  • A. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • B. Andrew B. Moore
    Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
  • C. Barton Myers
    Barton Myers is a Canadian-American architect renowned for his innovative urban infill projects and prominent cultural and civic buildings across North America.
  • D. Wolfram Burgard
    Wolfram Burgard is a German computer scientist and roboticist known for his influential work in probabilistic robotics, autonomous navigation, and artificial intelligence.
  • E. David J. Wetherall
    David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
  • 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: Christopher J. C. Burges
Triple: [MNIST, creator, Christopher J. C. Burges]
Generated description
Christopher J. C. Burges is a computer scientist and machine learning researcher known for his contributions to pattern recognition and support vector machines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christopher J. C. Burges
Target entity description: Christopher J. C. Burges is a computer scientist and machine learning researcher known for his contributions to pattern recognition and support vector machines.
  • A. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • B. Andrew B. Moore
    Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
  • C. Barton Myers
    Barton Myers is a Canadian-American architect renowned for his innovative urban infill projects and prominent cultural and civic buildings across North America.
  • D. Wolfram Burgard
    Wolfram Burgard is a German computer scientist and roboticist known for his influential work in probabilistic robotics, autonomous navigation, and artificial intelligence.
  • E. David J. Wetherall
    David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf52bd8819085a2ac5f48cc5c68 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6da490819093a5f574ff0b6b00 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37fb14a988190aa357622773e5817 completed March 13, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_69b3805e16d08190883d286a6763c079 completed March 13, 2026, 3:11 a.m.
Created at: March 8, 2026, 3:18 p.m.