Triple
T12681755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassim Nicholas Taleb |
E302962
|
entity |
| Predicate | notableConcept |
P201
|
FINISHED |
| Object |
ludic fallacy
The ludic fallacy is a concept introduced by Nassim Nicholas Taleb to criticize the misuse of simplified, game-like models to understand and predict complex real-world uncertainty.
|
E997743
|
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: ludic fallacy | Statement: [Nassim Nicholas Taleb, notableConcept, ludic fallacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ludic fallacy Context triple: [Nassim Nicholas Taleb, notableConcept, ludic fallacy]
-
A.
St. Petersburg paradox
The St. Petersburg paradox is a famous problem in probability theory and economics that highlights how a lottery with an infinite expected payoff can still attract only a finite price from rational gamblers, challenging traditional notions of expected value and decision-making under risk.
-
B.
The Taming of Chance
The Taming of Chance is a influential philosophical and historical study by Ian Hacking that examines how concepts of probability and statistical thinking transformed modern understandings of chance, causality, and social regulation.
-
C.
The Signal and the Noise
The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
-
D.
The Drunkard's Walk: How Randomness Rules Our Lives
The Drunkard's Walk: How Randomness Rules Our Lives is a popular science book by Leonard Mlodinow that explains the profound role of probability, randomness, and statistical thinking in everyday life and human decision-making.
-
E.
Competing Against Luck
Competing Against Luck is a business strategy book by Clayton Christensen that introduces and applies the "Jobs to Be Done" theory to explain how companies can systematically innovate and create successful products.
- 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: ludic fallacy Triple: [Nassim Nicholas Taleb, notableConcept, ludic fallacy]
Generated description
The ludic fallacy is a concept introduced by Nassim Nicholas Taleb to criticize the misuse of simplified, game-like models to understand and predict complex real-world uncertainty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ludic fallacy Target entity description: The ludic fallacy is a concept introduced by Nassim Nicholas Taleb to criticize the misuse of simplified, game-like models to understand and predict complex real-world uncertainty.
-
A.
St. Petersburg paradox
The St. Petersburg paradox is a famous problem in probability theory and economics that highlights how a lottery with an infinite expected payoff can still attract only a finite price from rational gamblers, challenging traditional notions of expected value and decision-making under risk.
-
B.
The Taming of Chance
The Taming of Chance is a influential philosophical and historical study by Ian Hacking that examines how concepts of probability and statistical thinking transformed modern understandings of chance, causality, and social regulation.
-
C.
The Signal and the Noise
The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
-
D.
The Drunkard's Walk: How Randomness Rules Our Lives
The Drunkard's Walk: How Randomness Rules Our Lives is a popular science book by Leonard Mlodinow that explains the profound role of probability, randomness, and statistical thinking in everyday life and human decision-making.
-
E.
Competing Against Luck
Competing Against Luck is a business strategy book by Clayton Christensen that introduces and applies the "Jobs to Be Done" theory to explain how companies can systematically innovate and create successful products.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a54b008190b02f9585d6c6ff77 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6732ea7408190a95f0a5f983dfdb7 |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:21 p.m.