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.