Triple

T2263000
Position Surface form Disambiguated ID Type / Status
Subject RFC 7539 E50080 entity
Predicate specifies P773 FINISHED
Object Poly1305 message authentication code E43495 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: Poly1305 message authentication code | Statement: [RFC 7539, specifies, Poly1305 message authentication code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poly1305 message authentication code
Context triple: [RFC 7539, specifies, Poly1305 message authentication code]
  • A. Poly1305 chosen
    Poly1305 is a high-speed message authentication code (MAC) algorithm commonly used with stream ciphers like ChaCha20 to provide data integrity and authenticity.
  • B. AES-Poly1305
    AES-Poly1305 is an authenticated encryption scheme that pairs the AES block cipher with the Poly1305 message authentication code to provide both confidentiality and integrity.
  • C. Carter–Wegman MACs
    Carter–Wegman MACs are a family of message authentication codes that use universal hashing combined with a secret key to provide efficient and provably secure authentication.
  • 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. 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18be8308190abc4a59d37dfd93a completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f08f2b88190bba173acb132a160 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.