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.