Triple

T13091637
Position Surface form Disambiguated ID Type / Status
Subject Colossus computers E310475 entity
Predicate targetCipherSystem P76795 FINISHED
Object Lorenz cipher
The Lorenz cipher was a high-level German teleprinter encryption system used during World War II, whose interception and decryption by the Allies led to the development of the Colossus computers.
E1019468 NE FINISHED

How this triple was built (5 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: Lorenz cipher | Statement: [Colossus computers, targetCipherSystem, Lorenz cipher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenz cipher
Context triple: [Colossus computers, targetCipherSystem, Lorenz cipher]
  • A. Lucifer cipher
    The Lucifer cipher is an early block cipher developed at IBM by Horst Feistel that served as a foundational design precursor to the Data Encryption Standard (DES).
  • B. de Vigenère
    de Vigenère is the surname most famously associated with Blaise de Vigenère, the 16th-century French diplomat and cryptographer known for the Vigenère cipher.
  • 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. 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.
  • E. Baconian method
    The Baconian method is a systematic approach to scientific inquiry that emphasizes empirical observation, experimentation, and inductive reasoning to derive general principles from particular facts.
  • 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: Lorenz cipher
Triple: [Colossus computers, targetCipherSystem, Lorenz cipher]
Generated description
The Lorenz cipher was a high-level German teleprinter encryption system used during World War II, whose interception and decryption by the Allies led to the development of the Colossus computers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorenz cipher
Target entity description: The Lorenz cipher was a high-level German teleprinter encryption system used during World War II, whose interception and decryption by the Allies led to the development of the Colossus computers.
  • A. Lucifer cipher
    The Lucifer cipher is an early block cipher developed at IBM by Horst Feistel that served as a foundational design precursor to the Data Encryption Standard (DES).
  • B. de Vigenère
    de Vigenère is the surname most famously associated with Blaise de Vigenère, the 16th-century French diplomat and cryptographer known for the Vigenère cipher.
  • 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. 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.
  • E. Baconian method
    The Baconian method is a systematic approach to scientific inquiry that emphasizes empirical observation, experimentation, and inductive reasoning to derive general principles from particular facts.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetCipherSystem
Context triple: [Colossus computers, targetCipherSystem, Lorenz cipher]
  • A. targetsSystems
    Indicates that an entity is directed at, attacks, or is intended to affect specific systems.
  • B. cipherSuiteIdentifier chosen
    Indicates the specific cryptographic cipher suite used or referenced in a communication or security context.
  • C. supportsCipherSuite
    Indicates that one entity is capable of using or handling a specified cryptographic cipher suite in secure communications.
  • D. cryptographicModel
    Indicates a relationship where one entity serves as, or is based on, a particular cryptographic scheme, framework, or formal model.
  • E. riftSystem
    Indicates a geological relationship where a region is part of, or associated with, a rift system formed by extensional tectonic processes.
  • F. None of above.

Provenance (6 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61629ac8190a2dfa11951a877f0 completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d6e326408190b7906c7ea8e3ef85 completed May 3, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6d873b978819097962c82e8ffdac8 completed May 3, 2026, 5:09 a.m.
PD Predicate disambiguation batch_69d9803f6c508190bfadfbc2d00c2c64 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:03 p.m.