Triple

T957456
Position Surface form Disambiguated ID Type / Status
Subject RC4 E20655 entity
Predicate alsoKnownAs P39 FINISHED
Object Rivest Cipher 4 E20655 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: Rivest Cipher 4 | Statement: [RC4, alsoKnownAs, Rivest Cipher 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivest Cipher 4
Context triple: [RC4, alsoKnownAs, Rivest Cipher 4]
  • A. RC4 stream cipher chosen
    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.
  • B. Advanced Encryption Standard
    Advanced Encryption Standard is a widely used symmetric block cipher standard that secures digital data in applications ranging from wireless networks to government communications.
  • C. 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.
  • D. RSA
    RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
  • E. Merkle–Damgård construction
    The Merkle–Damgård construction is a fundamental method for building collision-resistant cryptographic hash functions from fixed-size compression functions, used in many classic hash algorithms like MD5 and SHA-1.
  • 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.