Triple
T9062852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Intelligence: A Definition of Machine Intelligence |
E217169
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | algorithmic information theory |
E774596
|
NE FINISHED |
How this triple was built (2 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: algorithmic information theory | Statement: [Universal Intelligence: A Definition of Machine Intelligence, influencedBy, algorithmic information theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: algorithmic information theory Context triple: [Universal Intelligence: A Definition of Machine Intelligence, influencedBy, algorithmic information theory]
-
A.
algorithmic information theory
chosen
Algorithmic information theory is a branch of theoretical computer science and mathematics that studies the complexity and information content of objects using concepts like Kolmogorov complexity and randomness.
-
B.
Kolmogorov complexity
Kolmogorov complexity is a measure of the amount of information in an object, defined as the length of the shortest computer program that can produce it.
-
C.
Solomonoff induction
Solomonoff induction is a formal theory of universal prediction that combines algorithmic information theory and Bayesian reasoning to define an idealized, incomputable method for inferring future data from past observations.
-
D.
information theory
Information theory is a mathematical framework for quantifying information, communication, and data compression, foundational to modern digital communication and signal processing.
-
E.
Computability Theory
Computability Theory is a branch of theoretical computer science and mathematical logic that studies which problems can be solved by algorithms and how efficiently they can be computed.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cc94b9f28481909e20366b0e3d14aa |
completed | April 1, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01798a79081909885a8e61bf04dc3 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:11 p.m.