Triple
T9931181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TLS 1.2 PRF |
E192650
|
entity |
| Predicate | P_hashDefinition |
P8884
|
FINISHED |
| Object | P_hash(secret, seed) = HMAC_hash(secret, A(1) || seed) || HMAC_hash(secret, A(2) || seed) || ... |
—
|
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: P_hash(secret, seed) = HMAC_hash(secret, A(1) || seed) || HMAC_hash(secret, A(2) || seed) || ... | Statement: [TLS 1.2 PRF, P_hashDefinition, P_hash(secret, seed) = HMAC_hash(secret, A(1) || seed) || HMAC_hash(secret, A(2) || seed) || ...]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: P_hashDefinition Context triple: [TLS 1.2 PRF, P_hashDefinition, P_hash(secret, seed) = HMAC_hash(secret, A(1) || seed) || HMAC_hash(secret, A(2) || seed) || ...]
-
A.
holeDefinition
Indicates that one entity specifies or characterizes the nature, boundaries, or properties of a hole associated with another entity.
-
B.
hasDefinition
Indicates that one entity provides the meaning, explanation, or definition of another entity.
-
C.
coreDefinition
Indicates the fundamental, central meaning or essence that defines something at its most basic level.
-
D.
LpDefinition
Indicates that one entity serves as the formal definition or precise specification of another entity within a logical or mathematical context.
-
E.
hashFunction
chosen
Indicates a relationship where an input value is transformed into a fixed-size output (hash) according to a specific deterministic hashing 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.