Triple

T19351948
Position Surface form Disambiguated ID Type / Status
Subject Bartosz Zoltak E484043 entity
Predicate knownFor P22 FINISHED
Object VMPC stream 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: VMPC stream cipher | Statement: [Bartosz Zoltak, knownFor, VMPC stream cipher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VMPC stream cipher
Context triple: [Bartosz Zoltak, knownFor, VMPC stream cipher]
  • A. VMPC stream cipher chosen
    The VMPC stream cipher is a symmetric key encryption algorithm designed as an alternative to RC4, aiming to improve security while maintaining simplicity and efficiency in software implementations.
  • B. 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.
  • C. Spritz cipher
    Spritz cipher is a modern stream cipher and hash function designed by Ronald Rivest and Jacob Schuldt as a more secure and flexible successor to RC4.
  • D. Salsa20
    Salsa20 is a high-speed stream cipher designed by Daniel J. Bernstein, widely used in modern cryptography for its strong security and efficient software performance.
  • E. eSTREAM
    eSTREAM was a European research project and evaluation initiative focused on identifying and promoting efficient and secure stream cipher algorithms for widespread use.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.