Triple

T1922998
Position Surface form Disambiguated ID Type / Status
Subject Shane Legg E40165 entity
Predicate notableWork P4 FINISHED
Object 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.
 E217169 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: Universal Intelligence: A Definition of Machine Intelligence | Statement: [Shane Legg, notableWork, Universal Intelligence: A Definition of Machine Intelligence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Universal Intelligence: A Definition of Machine Intelligence
Context triple: [Shane Legg, notableWork, Universal Intelligence: A Definition of Machine Intelligence]
  • A. Superintelligence: Paths, Dangers, Strategies
    Superintelligence: Paths, Dangers, Strategies is a 2014 book by philosopher Nick Bostrom that analyzes the potential development of superhuman artificial intelligence and the existential risks and strategic challenges it could pose to humanity.
  • B. Computing Machinery and Intelligence
    "Computing Machinery and Intelligence" is Alan Turing’s landmark 1950 paper that introduced the Turing Test and fundamentally shaped the philosophical and technical foundations of artificial intelligence.
  • C. "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
    "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" is the seminal 1955 research proposal by John McCarthy and colleagues that launched the field of artificial intelligence by defining its goals and organizing the landmark 1956 Dartmouth conference.
  • D. The Age of Intelligent Machines
    The Age of Intelligent Machines is a 1990 book by futurist Ray Kurzweil that explores the history, current state, and future implications of artificial intelligence and computing.
  • E. How to Create a Mind
    "How to Create a Mind" is a nonfiction book by futurist Ray Kurzweil that explores the workings of human intelligence and proposes designs for advanced artificial intelligence based on the brain’s principles.
  • 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: Universal Intelligence: A Definition of Machine Intelligence
Triple: [Shane Legg, notableWork, Universal Intelligence: A Definition of Machine Intelligence]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Universal Intelligence: A Definition of Machine Intelligence
Target entity description: "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.
  • A. Superintelligence: Paths, Dangers, Strategies
    Superintelligence: Paths, Dangers, Strategies is a 2014 book by philosopher Nick Bostrom that analyzes the potential development of superhuman artificial intelligence and the existential risks and strategic challenges it could pose to humanity.
  • B. Computing Machinery and Intelligence
    "Computing Machinery and Intelligence" is Alan Turing’s landmark 1950 paper that introduced the Turing Test and fundamentally shaped the philosophical and technical foundations of artificial intelligence.
  • C. "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
    "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" is the seminal 1955 research proposal by John McCarthy and colleagues that launched the field of artificial intelligence by defining its goals and organizing the landmark 1956 Dartmouth conference.
  • D. The Age of Intelligent Machines
    The Age of Intelligent Machines is a 1990 book by futurist Ray Kurzweil that explores the history, current state, and future implications of artificial intelligence and computing.
  • E. How to Create a Mind
    "How to Create a Mind" is a nonfiction book by futurist Ray Kurzweil that explores the workings of human intelligence and proposes designs for advanced artificial intelligence based on the brain’s principles.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb23459ac819088ded5bfac9d4aad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e458e8819098ea1c2d5598f890 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4cd91008190ada815601d9f76b4 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf5681ea88190979237322fd2785b completed March 8, 2026, 10:17 p.m.
Created at: March 4, 2026, 7:35 p.m.