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.