Triple
T19352488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PBKDF2 |
E484055
|
entity |
| Predicate | comparedWith |
P278
|
FINISHED |
| Object | Argon2 |
—
|
NE NERFINISHED |
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: Argon2 | Statement: [PBKDF2, comparedWith, Argon2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argon2 Context triple: [PBKDF2, comparedWith, Argon2]
-
A.
Argon2id
chosen
Argon2id is a modern, memory-hard password hashing function designed to resist GPU and side-channel attacks, combining features of the Argon2i and Argon2d variants.
-
B.
BLAKE2b
BLAKE2b is a cryptographic hash function optimized for 64-bit platforms, known for its high speed, strong security, and use in modern applications as a successor to algorithms like SHA-2 and MD5.
-
C.
BLAKE2s
BLAKE2s is a fast, secure cryptographic hash function optimized for 32-bit platforms and widely used in modern protocols and applications.
-
D.
SipHash24
SipHash24 is a fast, cryptographically secure keyed hash function designed to protect hash tables from collision attacks while remaining efficient for short inputs.
-
E.
SHA-512
SHA-512 is a cryptographic hash function from the SHA-2 family that produces a 512-bit hash value and is widely used for secure data integrity and authentication.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.