Triple
T4382691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Berners-Lee |
E99165
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
How Bad Are Bananas? The Carbon Footprint of Everything
"How Bad Are Bananas? The Carbon Footprint of Everything" is a popular science book that explains and compares the carbon footprints of a wide range of everyday products, activities, and lifestyle choices.
|
E436451
|
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: How Bad Are Bananas? The Carbon Footprint of Everything | Statement: [Mike Berners-Lee, notableWork, How Bad Are Bananas? The Carbon Footprint of Everything]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Bad Are Bananas? The Carbon Footprint of Everything Context triple: [Mike Berners-Lee, notableWork, How Bad Are Bananas? The Carbon Footprint of Everything]
-
A.
The Economics of Biodiversity: The Dasgupta Review
The Economics of Biodiversity: The Dasgupta Review is a landmark UK-commissioned report that applies economic analysis to demonstrate the dependence of human prosperity on nature and to propose reforms for integrating biodiversity and natural capital into economic decision-making.
-
B.
Cannibal Capitalism: How Our System Is Devouring Democracy, Care, and the Planet—and What We Can Do About It
Cannibal Capitalism: How Our System Is Devouring Democracy, Care, and the Planet—and What We Can Do About It is a critical political-philosophical work by Nancy Fraser that analyzes contemporary capitalism’s destructive effects on democracy, social reproduction, and the environment while outlining possibilities for systemic transformation.
-
C.
Carbon War Room
Carbon War Room is an environmental nonprofit initiative focused on accelerating market-based solutions to climate change and promoting low-carbon business practices worldwide.
-
D.
The True Cost
The True Cost is a documentary film that exposes the environmental and human rights impacts of the global fast fashion industry.
-
E.
CO2 Rising: The World’s Greatest Environmental Challenge
CO2 Rising: The World’s Greatest Environmental Challenge is a popular science book that explains the science, sources, and global impacts of rising carbon dioxide levels in Earth’s atmosphere.
- 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: How Bad Are Bananas? The Carbon Footprint of Everything Triple: [Mike Berners-Lee, notableWork, How Bad Are Bananas? The Carbon Footprint of Everything]
Generated description
"How Bad Are Bananas? The Carbon Footprint of Everything" is a popular science book that explains and compares the carbon footprints of a wide range of everyday products, activities, and lifestyle choices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: How Bad Are Bananas? The Carbon Footprint of Everything Target entity description: "How Bad Are Bananas? The Carbon Footprint of Everything" is a popular science book that explains and compares the carbon footprints of a wide range of everyday products, activities, and lifestyle choices.
-
A.
The Economics of Biodiversity: The Dasgupta Review
The Economics of Biodiversity: The Dasgupta Review is a landmark UK-commissioned report that applies economic analysis to demonstrate the dependence of human prosperity on nature and to propose reforms for integrating biodiversity and natural capital into economic decision-making.
-
B.
Cannibal Capitalism: How Our System Is Devouring Democracy, Care, and the Planet—and What We Can Do About It
Cannibal Capitalism: How Our System Is Devouring Democracy, Care, and the Planet—and What We Can Do About It is a critical political-philosophical work by Nancy Fraser that analyzes contemporary capitalism’s destructive effects on democracy, social reproduction, and the environment while outlining possibilities for systemic transformation.
-
C.
Carbon War Room
Carbon War Room is an environmental nonprofit initiative focused on accelerating market-based solutions to climate change and promoting low-carbon business practices worldwide.
-
D.
The True Cost
The True Cost is a documentary film that exposes the environmental and human rights impacts of the global fast fashion industry.
-
E.
CO2 Rising: The World’s Greatest Environmental Challenge
CO2 Rising: The World’s Greatest Environmental Challenge is a popular science book that explains the science, sources, and global impacts of rising carbon dioxide levels in Earth’s atmosphere.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35262649c8190a724c9835cb7ece6 |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e523cc5c8190b9884f83d433982c |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5eeaf35348190a1611f5b04baed1f |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef5c7e0c819080b0e8914dcd6568 |
completed | March 14, 2026, 11:29 p.m. |
Created at: March 12, 2026, 11:18 p.m.