Triple

T957498
Position Surface form Disambiguated ID Type / Status
Subject RC4 E20655 entity
Predicate replacedBy P101 FINISHED
Object ChaCha20 E6785 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: ChaCha20 | Statement: [RC4, replacedBy, ChaCha20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ChaCha20
Context triple: [RC4, replacedBy, ChaCha20]
  • A. ChaCha20 chosen
    ChaCha20 is a modern stream cipher designed by Daniel J. Bernstein, widely used for its high performance and strong security in protocols like TLS.
  • B. 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.
  • C. Poly1305
    Poly1305 is a high-speed message authentication code (MAC) algorithm commonly used with stream ciphers like ChaCha20 to provide data integrity and authenticity.
  • D. AES-GCM
    AES-GCM is an authenticated encryption mode of the Advanced Encryption Standard that provides both data confidentiality and integrity, widely used in modern network and security protocols.
  • E. AES-CTR
    AES-CTR is a widely used symmetric-key encryption mode that turns the AES block cipher into a fast, parallelizable stream cipher by encrypting successive counter values and XORing them with the plaintext.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3fac2bc8190a66feb70c68899b2 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933b259d08190b03989e2b1575085 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.