Triple

T7415106
Position Surface form Disambiguated ID Type / Status
Subject AddRoundKey E171108 entity
Predicate usedWith P4791 FINISHED
Object MixColumns E171107 NE FINISHED

How this triple was built (2 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: MixColumns | Statement: [AddRoundKey, usedWith, MixColumns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MixColumns
Context triple: [AddRoundKey, usedWith, MixColumns]
  • A. MixColumns chosen
    MixColumns is a core linear transformation step in the AES block cipher that mixes each column of the state matrix to provide diffusion and strengthen security.
  • B. AddRoundKey
    AddRoundKey is a core AES transformation step that combines the current state with a round-specific subkey using bitwise XOR to provide key-dependent confusion.
  • C. Rijndael
    Rijndael is a symmetric block cipher designed by Joan Daemen and Vincent Rijmen that was selected by NIST as the basis for the Advanced Encryption Standard (AES).
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c643248190a387abba2f482b25 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ee1b48c81909912ff0d7bf2837e completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.