Triple
T4445680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivek Ranadivé |
E96278
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough
*The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough* is a business and technology book by Vivek Ranadivé that explores how using predictive insights and real-time data can give individuals and organizations a crucial performance edge.
|
E438996
|
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 Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough | Statement: [Vivek Ranadivé, notableWork, The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough Context triple: [Vivek Ranadivé, notableWork, The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough]
-
A.
Experience and Prediction
Experience and Prediction is a seminal philosophical work by Hans Reichenbach that develops a logical and probabilistic foundation for scientific knowledge and induction within the framework of logical empiricism.
-
B.
Models of Bounded Rationality
Models of Bounded Rationality is a collection of Herbert A. Simon’s influential works that develop the concept of bounded rationality, explaining how real-world decision-making is constrained by limited information, cognitive capacity, and time.
-
C.
Why the future doesn’t need us
"Why the Future Doesn’t Need Us" is a widely discussed 2000 essay by technologist Bill Joy warning that advances in robotics, genetic engineering, and nanotechnology could pose existential risks to humanity.
-
D.
Foresight
Foresight is a guiding, prophetic entity in the game Minecraft Legends that helps the player understand looming threats and shape the course of their adventure.
-
E.
Perception, Opportunity and Profit
Perception, Opportunity and Profit is a seminal work in Austrian economics by Israel Kirzner that analyzes the role of entrepreneurial discovery in market processes and profit generation.
- 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 Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough Triple: [Vivek Ranadivé, notableWork, The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough]
Generated description
*The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough* is a business and technology book by Vivek Ranadivé that explores how using predictive insights and real-time data can give individuals and organizations a crucial performance edge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough Target entity description: *The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough* is a business and technology book by Vivek Ranadivé that explores how using predictive insights and real-time data can give individuals and organizations a crucial performance edge.
-
A.
Experience and Prediction
Experience and Prediction is a seminal philosophical work by Hans Reichenbach that develops a logical and probabilistic foundation for scientific knowledge and induction within the framework of logical empiricism.
-
B.
Models of Bounded Rationality
Models of Bounded Rationality is a collection of Herbert A. Simon’s influential works that develop the concept of bounded rationality, explaining how real-world decision-making is constrained by limited information, cognitive capacity, and time.
-
C.
Why the future doesn’t need us
"Why the Future Doesn’t Need Us" is a widely discussed 2000 essay by technologist Bill Joy warning that advances in robotics, genetic engineering, and nanotechnology could pose existential risks to humanity.
-
D.
Foresight
Foresight is a guiding, prophetic entity in the game Minecraft Legends that helps the player understand looming threats and shape the course of their adventure.
-
E.
Perception, Opportunity and Profit
Perception, Opportunity and Profit is a seminal work in Austrian economics by Israel Kirzner that analyzes the role of entrepreneurial discovery in market processes and profit generation.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61464b0dc81909cab007115435b8b |
completed | March 15, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6151440648190bf8c1c95e20caf13 |
completed | March 15, 2026, 2:10 a.m. |
Created at: March 12, 2026, 11:32 p.m.