Triple

T20259172
Position Surface form Disambiguated ID Type / Status
Subject Matt Robshaw E498784 entity
Predicate notableWork P4 FINISHED
Object RC6 block cipher NE NERFINISHED

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: RC6 block cipher | Statement: [Matt Robshaw, notableWork, RC6 block cipher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RC6 block cipher
Context triple: [Matt Robshaw, notableWork, RC6 block cipher]
  • A. RC6 chosen
    RC6 is a symmetric block cipher designed as a candidate for the Advanced Encryption Standard (AES), known for its simplicity, efficiency, and parameterized structure.
  • B. RC5
    RC5 is a symmetric-key block cipher designed by cryptographer Ronald L. Rivest, known for its simplicity, parameter flexibility, and use in various encryption applications.
  • C. RC-6
    RC-6 is a mid-size fastback sedan produced by the Chinese automaker Baojun, known for its elevated ride height and crossover-inspired styling.
  • D. RC4 stream cipher
    The RC4 stream cipher is a once-widely used symmetric key algorithm known for its simplicity and speed in software, but now considered insecure due to multiple discovered vulnerabilities.
  • E. Serpent cipher
    Serpent cipher is a symmetric-key block cipher and former AES finalist known for its strong security margin and conservative design based on a substitution–permutation network structure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c84e848190a6e8956698b84026 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.