Triple
T9062787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Hutter |
E217168
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
AIXI model
The AIXI model is a theoretical framework for an idealized, maximally intelligent reinforcement learning agent that combines Solomonoff induction with sequential decision theory.
|
E774590
|
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: AIXI model | Statement: [Marcus Hutter, knownFor, AIXI model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIXI model Context triple: [Marcus Hutter, knownFor, AIXI model]
-
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.
universal intelligence measure
The universal intelligence measure is a formal, mathematical framework proposed to quantify and compare the general intelligence of agents across all possible environments.
-
C.
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.
-
D.
Adept AI
Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
-
E.
Helmholtz machine
The Helmholtz machine is a pioneering generative neural network model that learns internal representations by using separate recognition and generative pathways to perform unsupervised learning.
- 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: AIXI model Triple: [Marcus Hutter, knownFor, AIXI model]
Generated description
The AIXI model is a theoretical framework for an idealized, maximally intelligent reinforcement learning agent that combines Solomonoff induction with sequential decision theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AIXI model Target entity description: The AIXI model is a theoretical framework for an idealized, maximally intelligent reinforcement learning agent that combines Solomonoff induction with sequential decision theory.
-
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.
universal intelligence measure
The universal intelligence measure is a formal, mathematical framework proposed to quantify and compare the general intelligence of agents across all possible environments.
-
C.
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.
-
D.
Adept AI
Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
-
E.
Helmholtz machine
The Helmholtz machine is a pioneering generative neural network model that learns internal representations by using separate recognition and generative pathways to perform unsupervised learning.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ecd352c8190a744579209b2e535 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebf4b9348190a7f01c64098c25f7 |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfedeb1a648190974b579109bdde3b |
completed | April 3, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee5ef8208190a129df4fa49037a0 |
completed | April 3, 2026, 4:44 p.m. |
Created at: March 30, 2026, 7:11 p.m.