Triple

T15301436
Position Surface form Disambiguated ID Type / Status
Subject Cracking the Aging Code E365797 entity
Predicate hasSubtitle P1916 FINISHED
Object The New Science of Growing Old – And What It Means for Staying Young
"The New Science of Growing Old – And What It Means for Staying Young" is the subtitle of the book *Cracking the Aging Code*, which explores cutting-edge biological research on aging and how it can inform strategies for extending health and longevity.
E365797 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: The New Science of Growing Old – And What It Means for Staying Young | Statement: [Cracking the Aging Code, hasSubtitle, The New Science of Growing Old – And What It Means for Staying Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The New Science of Growing Old – And What It Means for Staying Young
Context triple: [Cracking the Aging Code, hasSubtitle, The New Science of Growing Old – And What It Means for Staying Young]
  • A. Lifespan: Why We Age—and Why We Don’t Have To
    Lifespan: Why We Age—and Why We Don’t Have To is a popular science book that explores the biology of aging and argues that aging can be treated and potentially reversed through emerging longevity research and technologies.
  • B. Cracking the Aging Code
    Cracking the Aging Code is a science book co-authored by Dorian Sagan that explores the biological mechanisms and evolutionary logic behind aging.
  • C. Lifespan with Dr. David Sinclair
    Lifespan with Dr. David Sinclair is a science-focused podcast in which Harvard longevity researcher David Sinclair explores the biology of aging and strategies to extend healthy human lifespan.
  • D. The Longevity Book
    The Longevity Book is a health and wellness guide by Cameron Diaz that explores the science and lifestyle practices behind healthy aging, particularly for women.
  • E. Becoming Grandma: The Joys and Science of the New Grandparenting
    "Becoming Grandma: The Joys and Science of the New Grandparenting" is a nonfiction book that blends personal stories, interviews, and research to explore the emotional, social, and scientific dimensions of modern grandparenthood.
  • 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: The New Science of Growing Old – And What It Means for Staying Young
Triple: [Cracking the Aging Code, hasSubtitle, The New Science of Growing Old – And What It Means for Staying Young]
Generated description
"The New Science of Growing Old – And What It Means for Staying Young" is the subtitle of the book *Cracking the Aging Code*, which explores cutting-edge biological research on aging and how it can inform strategies for extending health and longevity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The New Science of Growing Old – And What It Means for Staying Young
Target entity description: "The New Science of Growing Old – And What It Means for Staying Young" is the subtitle of the book *Cracking the Aging Code*, which explores cutting-edge biological research on aging and how it can inform strategies for extending health and longevity.
  • A. Lifespan: Why We Age—and Why We Don’t Have To
    Lifespan: Why We Age—and Why We Don’t Have To is a popular science book that explores the biology of aging and argues that aging can be treated and potentially reversed through emerging longevity research and technologies.
  • B. Cracking the Aging Code chosen
    Cracking the Aging Code is a science book co-authored by Dorian Sagan that explores the biological mechanisms and evolutionary logic behind aging.
  • C. Lifespan with Dr. David Sinclair
    Lifespan with Dr. David Sinclair is a science-focused podcast in which Harvard longevity researcher David Sinclair explores the biology of aging and strategies to extend healthy human lifespan.
  • D. The Longevity Book
    The Longevity Book is a health and wellness guide by Cameron Diaz that explores the science and lifestyle practices behind healthy aging, particularly for women.
  • E. Becoming Grandma: The Joys and Science of the New Grandparenting
    "Becoming Grandma: The Joys and Science of the New Grandparenting" is a nonfiction book that blends personal stories, interviews, and research to explore the emotional, social, and scientific dimensions of modern grandparenthood.
  • F. None of above.

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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef8513a08190b2d2a7dde85dd43d completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef23de4688190beeb59ef43891e3d completed May 9, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69fef2d8fe04819084bb3deb6859d746 completed May 9, 2026, 8:39 a.m.
Created at: April 10, 2026, 3:15 a.m.