Triple
T14721127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probably Approximately Correct |
E345815
|
entity |
| Predicate | subtitle |
P2765
|
FINISHED |
| Object |
Nature’s Algorithms for Learning and Prospering in a Complex World
Nature’s Algorithms for Learning and Prospering in a Complex World is a popular science book by computer scientist Leslie Valiant that explores how ideas from computational learning theory and evolution explain intelligence, adaptation, and success in complex environments.
|
E1115579
|
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: Nature’s Algorithms for Learning and Prospering in a Complex World | Statement: [Probably Approximately Correct, subtitle, Nature’s Algorithms for Learning and Prospering in a Complex World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nature’s Algorithms for Learning and Prospering in a Complex World Context triple: [Probably Approximately Correct, subtitle, Nature’s Algorithms for Learning and Prospering in a Complex World]
-
A.
Searching for Order in the Complexity of Evolving Worlds
"Searching for Order in the Complexity of Evolving Worlds" is the guiding motto of the Santa Fe Institute, reflecting its focus on understanding complex adaptive systems across disciplines.
-
B.
Biological and Artificial Computation
Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.
-
C.
Darwin Among the Machines
"Darwin Among the Machines" is a non-fiction book by George Dyson that explores the historical development and philosophical implications of artificial intelligence and digital evolution.
-
D.
Living with Complexity
"Living with Complexity" is a book by cognitive scientist and design theorist Donald A. Norman that explores how thoughtful design can help people understand and manage the inherent complexity of modern technologies and systems.
-
E.
The Master Algorithm
The Master Algorithm is a popular science book by Pedro Domingos that explores the unification of different machine learning paradigms into a single, overarching "master" learning algorithm.
- 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: Nature’s Algorithms for Learning and Prospering in a Complex World Triple: [Probably Approximately Correct, subtitle, Nature’s Algorithms for Learning and Prospering in a Complex World]
Generated description
Nature’s Algorithms for Learning and Prospering in a Complex World is a popular science book by computer scientist Leslie Valiant that explores how ideas from computational learning theory and evolution explain intelligence, adaptation, and success in complex environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nature’s Algorithms for Learning and Prospering in a Complex World Target entity description: Nature’s Algorithms for Learning and Prospering in a Complex World is a popular science book by computer scientist Leslie Valiant that explores how ideas from computational learning theory and evolution explain intelligence, adaptation, and success in complex environments.
-
A.
Searching for Order in the Complexity of Evolving Worlds
"Searching for Order in the Complexity of Evolving Worlds" is the guiding motto of the Santa Fe Institute, reflecting its focus on understanding complex adaptive systems across disciplines.
-
B.
Biological and Artificial Computation
Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.
-
C.
Darwin Among the Machines
"Darwin Among the Machines" is a non-fiction book by George Dyson that explores the historical development and philosophical implications of artificial intelligence and digital evolution.
-
D.
Living with Complexity
"Living with Complexity" is a book by cognitive scientist and design theorist Donald A. Norman that explores how thoughtful design can help people understand and manage the inherent complexity of modern technologies and systems.
-
E.
The Master Algorithm
The Master Algorithm is a popular science book by Pedro Domingos that explores the unification of different machine learning paradigms into a single, overarching "master" learning algorithm.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf440a03c8190886119ab3c8ab610 |
completed | May 8, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf4f2acbc8190b51ee456093a2813 |
completed | May 8, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:29 a.m.