Triple

T7414946
Position Surface form Disambiguated ID Type / Status
Subject DES E171105 entity
Predicate basedOn P98 FINISHED
Object Lucifer cipher E487732 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: Lucifer cipher | Statement: [DES, basedOn, Lucifer cipher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucifer cipher
Context triple: [DES, basedOn, Lucifer cipher]
  • A. Alberti cipher disk
    The Alberti cipher disk is a 15th-century polyalphabetic substitution device, considered one of the earliest mechanical tools for encrypting messages and a foundational innovation in modern cryptography.
  • B. 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.
  • C. Playfair
    Playfair is a Scottish surname most notably associated with John Playfair, an 18th–19th century mathematician and geologist known for popularizing geometry and scientific ideas.
  • D. Feistel network chosen
    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. 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.
  • 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_69c6f2c509ac8190876f207267a33a3b 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.