Triple

T5214021
Position Surface form Disambiguated ID Type / Status
Subject Blum–Micali pseudorandom number generator E117703 entity
Predicate relatedTo P37 FINISHED
Object Yao’s next-bit test
Yao’s next-bit test is a foundational cryptographic criterion that characterizes pseudorandomness by requiring that no efficient algorithm can predict the next bit of a sequence significantly better than random guessing, given all previous bits.
E503604 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: Yao’s next-bit test | Statement: [Blum–Micali pseudorandom number generator, relatedTo, Yao’s next-bit test]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yao’s next-bit test
Context triple: [Blum–Micali pseudorandom number generator, relatedTo, Yao’s next-bit test]
  • A. Blum–Micali pseudorandom number generator
    The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
  • B. Modern Cryptography, Probabilistic Proofs and Pseudorandomness
    "Modern Cryptography, Probabilistic Proofs and Pseudorandomness" is a foundational textbook that systematically develops the theoretical underpinnings of modern cryptography, focusing on probabilistic proof techniques and the theory of pseudorandomness.
  • C. In a World of Pseudorandomness
    "In a World of Pseudorandomness" is a theoretical computer science work exploring the foundations, constructions, and implications of pseudorandomness in computation and cryptography.
  • D. Blum–Blum–Shub pseudorandom number generator
    The Blum–Blum–Shub pseudorandom number generator is a cryptographically secure generator based on the hardness of factoring large composite numbers, widely studied in theoretical computer science and cryptography.
  • E. Håstad’s switching lemma
    Håstad’s switching lemma is a fundamental result in computational complexity theory that provides powerful bounds on the simplification of Boolean formulas under random restrictions, with major applications in circuit lower bounds.
  • 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: Yao’s next-bit test
Triple: [Blum–Micali pseudorandom number generator, relatedTo, Yao’s next-bit test]
Generated description
Yao’s next-bit test is a foundational cryptographic criterion that characterizes pseudorandomness by requiring that no efficient algorithm can predict the next bit of a sequence significantly better than random guessing, given all previous bits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yao’s next-bit test
Target entity description: Yao’s next-bit test is a foundational cryptographic criterion that characterizes pseudorandomness by requiring that no efficient algorithm can predict the next bit of a sequence significantly better than random guessing, given all previous bits.
  • A. Blum–Micali pseudorandom number generator
    The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
  • B. Modern Cryptography, Probabilistic Proofs and Pseudorandomness
    "Modern Cryptography, Probabilistic Proofs and Pseudorandomness" is a foundational textbook that systematically develops the theoretical underpinnings of modern cryptography, focusing on probabilistic proof techniques and the theory of pseudorandomness.
  • C. In a World of Pseudorandomness
    "In a World of Pseudorandomness" is a theoretical computer science work exploring the foundations, constructions, and implications of pseudorandomness in computation and cryptography.
  • D. Blum–Blum–Shub pseudorandom number generator
    The Blum–Blum–Shub pseudorandom number generator is a cryptographically secure generator based on the hardness of factoring large composite numbers, widely studied in theoretical computer science and cryptography.
  • E. Håstad’s switching lemma
    Håstad’s switching lemma is a fundamental result in computational complexity theory that provides powerful bounds on the simplification of Boolean formulas under random restrictions, with major applications in circuit lower bounds.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefe325988190b35e3502f147c9c2 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0b1fe9c8190bfc1be621c7c1c76 completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef16739148190b9700228be7d07f9 completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:47 p.m.