Triple

T3542939
Position Surface form Disambiguated ID Type / Status
Subject Léon Bottou E74927 entity
Predicate hasPublication P80 FINISHED
Object “From Machine Learning to Machine Reasoning”
“From Machine Learning to Machine Reasoning” is a scholarly work by Léon Bottou that explores how to extend traditional machine learning methods toward systems capable of more general, structured reasoning.
E367292 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: “From Machine Learning to Machine Reasoning” | Statement: [Léon Bottou, hasPublication, “From Machine Learning to Machine Reasoning”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “From Machine Learning to Machine Reasoning”
Context triple: [Léon Bottou, hasPublication, “From Machine Learning to Machine Reasoning”]
  • A. Universal Intelligence: A Definition of Machine Intelligence
    "Universal Intelligence: A Definition of Machine Intelligence" is a foundational paper by Shane Legg (with Marcus Hutter) that formally defines and mathematically characterizes general machine intelligence using concepts from algorithmic information theory and reinforcement learning.
  • B. Cambrian intelligence: The early history of the new AI
    Cambrian Intelligence: The Early History of the New AI is a book by roboticist Rodney Brooks that outlines his influential behavior-based approach to artificial intelligence and robotics in contrast to traditional symbolic AI.
  • C. Logical Methods in Computer Science
    Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
  • D. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • E. Soar cognitive architecture
    The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.
  • 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: “From Machine Learning to Machine Reasoning”
Triple: [Léon Bottou, hasPublication, “From Machine Learning to Machine Reasoning”]
Generated description
“From Machine Learning to Machine Reasoning” is a scholarly work by Léon Bottou that explores how to extend traditional machine learning methods toward systems capable of more general, structured reasoning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “From Machine Learning to Machine Reasoning”
Target entity description: “From Machine Learning to Machine Reasoning” is a scholarly work by Léon Bottou that explores how to extend traditional machine learning methods toward systems capable of more general, structured reasoning.
  • A. Universal Intelligence: A Definition of Machine Intelligence
    "Universal Intelligence: A Definition of Machine Intelligence" is a foundational paper by Shane Legg (with Marcus Hutter) that formally defines and mathematically characterizes general machine intelligence using concepts from algorithmic information theory and reinforcement learning.
  • B. Cambrian intelligence: The early history of the new AI
    Cambrian Intelligence: The Early History of the New AI is a book by roboticist Rodney Brooks that outlines his influential behavior-based approach to artificial intelligence and robotics in contrast to traditional symbolic AI.
  • C. Logical Methods in Computer Science
    Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
  • D. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • E. Soar cognitive architecture
    The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38cb6a2188190b68f4903144a0e51 completed March 13, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_69b39062a10c8190bc227c02cf4f3ab1 completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.