Triple

T7174340
Position Surface form Disambiguated ID Type / Status
Subject Berlekamp–Massey algorithm E167281 entity
Predicate relatedTo P37 FINISHED
Object linear feedback shift register
A linear feedback shift register is a sequential digital circuit that generates deterministic pseudorandom bit sequences by shifting bits and feeding back a linear function of its previous state.
E646779 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: linear feedback shift register | Statement: [Berlekamp–Massey algorithm, relatedTo, linear feedback shift register]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: linear feedback shift register
Context triple: [Berlekamp–Massey algorithm, relatedTo, linear feedback shift register]
  • A. Berlekamp–Massey algorithm
    The Berlekamp–Massey algorithm is a key algorithm in coding theory and cryptography used to efficiently determine the shortest linear feedback shift register that generates a given binary sequence.
  • B. 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.
  • 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. Feistel network
    A Feistel network is a symmetric structure for building block ciphers that splits data into halves and repeatedly applies round functions to achieve secure encryption and decryption.
  • E. Substitution–permutation network
    A substitution–permutation network is a symmetric-key cryptographic design that secures data by repeatedly applying nonlinear substitutions and bitwise permutations to achieve confusion and diffusion.
  • 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: linear feedback shift register
Triple: [Berlekamp–Massey algorithm, relatedTo, linear feedback shift register]
Generated description
A linear feedback shift register is a sequential digital circuit that generates deterministic pseudorandom bit sequences by shifting bits and feeding back a linear function of its previous state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: linear feedback shift register
Target entity description: A linear feedback shift register is a sequential digital circuit that generates deterministic pseudorandom bit sequences by shifting bits and feeding back a linear function of its previous state.
  • A. Berlekamp–Massey algorithm
    The Berlekamp–Massey algorithm is a key algorithm in coding theory and cryptography used to efficiently determine the shortest linear feedback shift register that generates a given binary sequence.
  • B. 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.
  • 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. Feistel network
    A Feistel network is a symmetric structure for building block ciphers that splits data into halves and repeatedly applies round functions to achieve secure encryption and decryption.
  • E. Substitution–permutation network
    A substitution–permutation network is a symmetric-key cryptographic design that secures data by repeatedly applying nonlinear substitutions and bitwise permutations to achieve confusion and diffusion.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88d770c8190b8d06dcd08447c08 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b921b1e48190b25c1337f6187174 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7b9b0867081909be41ffb8b088e16 completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba1a770c819085a25eb796312822 completed March 28, 2026, 11:23 a.m.
Created at: March 27, 2026, 2:48 p.m.