Triple
T8828737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRAM-MD5 |
E210079
|
entity |
| Predicate | digestComputation |
P89
|
FINISHED |
| Object | MD5 of (password XOR pads concatenated with challenge) |
—
|
LITERAL 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: MD5 of (password XOR pads concatenated with challenge) | Statement: [CRAM-MD5, digestComputation, MD5 of (password XOR pads concatenated with challenge)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digestComputation Context triple: [CRAM-MD5, digestComputation, MD5 of (password XOR pads concatenated with challenge)]
-
A.
checksum
Indicates that a value has been computed from data to verify its integrity or detect errors in transmission or storage.
-
B.
Merkle–Damgård strengthening
Indicates that a hash function construction applies Merkle–Damgård strengthening, meaning the message is padded with its length (and possibly other structured padding) before processing to help ensure collision resistance and proper security properties.
-
C.
computationInput
Indicates that an entity serves as input data or parameters consumed by a computation or processing activity.
-
D.
cryptographicRelevance
Indicates that something has significance, impact, or utility within a cryptographic context, such as for security, encryption, or cryptographic analysis.
-
E.
usesComputationMethod
chosen
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
- F. None of above.
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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604c52a48190807e46c15e3c1558 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.