Triple

T7046855
Position Surface form Disambiguated ID Type / Status
Subject Daniele Micciancio E163655 entity
Predicate knownFor P22 FINISHED
Object short integer solution (SIS) problem
The short integer solution (SIS) problem is a fundamental lattice-based computational problem that underpins many modern cryptographic constructions, especially in post-quantum cryptography.
E639078 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: short integer solution (SIS) problem | Statement: [Daniele Micciancio, knownFor, short integer solution (SIS) problem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: short integer solution (SIS) problem
Context triple: [Daniele Micciancio, knownFor, short integer solution (SIS) problem]
  • A. Computing short vectors in lattices
    "Computing short vectors in lattices" is Daniel J. Bernstein's doctoral thesis, focusing on algorithms and complexity issues related to finding short vectors in mathematical lattices, a central problem in computational number theory and cryptography.
  • B. 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.
  • C. 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.
  • D. Shamir’s attack on RSA with low decryption exponent
    Shamir’s attack on RSA with low decryption exponent is a cryptanalytic method that exploits unusually small private exponents in RSA to efficiently recover the secret key and break the encryption.
  • E. Merkle puzzles
    Merkle puzzles are an early cryptographic protocol that introduced the concept of public-key exchange by allowing two parties to establish a shared secret over an insecure channel using computationally asymmetric “puzzle” problems.
  • 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: short integer solution (SIS) problem
Triple: [Daniele Micciancio, knownFor, short integer solution (SIS) problem]
Generated description
The short integer solution (SIS) problem is a fundamental lattice-based computational problem that underpins many modern cryptographic constructions, especially in post-quantum cryptography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: short integer solution (SIS) problem
Target entity description: The short integer solution (SIS) problem is a fundamental lattice-based computational problem that underpins many modern cryptographic constructions, especially in post-quantum cryptography.
  • A. Computing short vectors in lattices
    "Computing short vectors in lattices" is Daniel J. Bernstein's doctoral thesis, focusing on algorithms and complexity issues related to finding short vectors in mathematical lattices, a central problem in computational number theory and cryptography.
  • B. 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.
  • C. 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.
  • D. Shamir’s attack on RSA with low decryption exponent
    Shamir’s attack on RSA with low decryption exponent is a cryptanalytic method that exploits unusually small private exponents in RSA to efficiently recover the secret key and break the encryption.
  • E. Merkle puzzles
    Merkle puzzles are an early cryptographic protocol that introduced the concept of public-key exchange by allowing two parties to establish a shared secret over an insecure channel using computationally asymmetric “puzzle” problems.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23a72f481909ce77ef73b06ea95 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887e6e50819088c23c9b45861a54 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78a822ab0819097e2b40d4b9e044f completed March 28, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69c78b33f5308190a3f234a2c0bd8b9c completed March 28, 2026, 8:03 a.m.
Created at: March 27, 2026, 2:37 p.m.