Triple

T9958183
Position Surface form Disambiguated ID Type / Status
Subject Moni Naor E195495 entity
Predicate notableWork P4 FINISHED
Object Naor–Yung encryption paradigm
The Naor–Yung encryption paradigm is a foundational cryptographic framework that uses double encryption and zero-knowledge proofs to transform semantically secure public-key schemes into ones secure against chosen-ciphertext attacks.
E831745 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: Naor–Yung encryption paradigm | Statement: [Moni Naor, notableWork, Naor–Yung encryption paradigm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naor–Yung encryption paradigm
Context triple: [Moni Naor, notableWork, Naor–Yung encryption paradigm]
  • A. Probabilistic Encryption
    Probabilistic Encryption is a cryptographic technique that uses randomness in the encryption process so that the same message encrypts to different ciphertexts, enhancing security against attackers.
  • B. New Directions in Cryptography
    New Directions in Cryptography is a landmark 1976 paper that introduced the concepts of public-key cryptography and digital signatures, fundamentally reshaping modern cryptography and secure communications.
  • C. Secrecy, Authentication, and Public Key Systems
    "Secrecy, Authentication, and Public Key Systems" is Ralph Merkle's influential doctoral thesis that helped lay the foundations of modern public-key cryptography and secure communication protocols.
  • D. 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.
  • E. Merkle–Hellman knapsack cryptosystem
    The Merkle–Hellman knapsack cryptosystem is an early public-key encryption scheme based on the subset sum (knapsack) problem, historically significant as one of the first practical public-key systems though later found to be insecure.
  • 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: Naor–Yung encryption paradigm
Triple: [Moni Naor, notableWork, Naor–Yung encryption paradigm]
Generated description
The Naor–Yung encryption paradigm is a foundational cryptographic framework that uses double encryption and zero-knowledge proofs to transform semantically secure public-key schemes into ones secure against chosen-ciphertext attacks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naor–Yung encryption paradigm
Target entity description: The Naor–Yung encryption paradigm is a foundational cryptographic framework that uses double encryption and zero-knowledge proofs to transform semantically secure public-key schemes into ones secure against chosen-ciphertext attacks.
  • A. Probabilistic Encryption
    Probabilistic Encryption is a cryptographic technique that uses randomness in the encryption process so that the same message encrypts to different ciphertexts, enhancing security against attackers.
  • B. New Directions in Cryptography
    New Directions in Cryptography is a landmark 1976 paper that introduced the concepts of public-key cryptography and digital signatures, fundamentally reshaping modern cryptography and secure communications.
  • C. Secrecy, Authentication, and Public Key Systems
    "Secrecy, Authentication, and Public Key Systems" is Ralph Merkle's influential doctoral thesis that helped lay the foundations of modern public-key cryptography and secure communication protocols.
  • D. 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.
  • E. Merkle–Hellman knapsack cryptosystem
    The Merkle–Hellman knapsack cryptosystem is an early public-key encryption scheme based on the subset sum (knapsack) problem, historically significant as one of the first practical public-key systems though later found to be insecure.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cec7dc8190bb7e43c82a317707 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d7988948190bae81c1020f2b605 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23e6ee6d48190ae724d0ee96b64bf completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d23fd274dc8190b7af27cf503d7dc6 completed April 5, 2026, 10:56 a.m.
Created at: March 30, 2026, 8:46 p.m.