Triple
T25425213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Secure Key |
E637099
|
entity |
| Predicate | instructionMnemonic |
P158287
|
FINISHED |
| Object | RDRAND |
—
|
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: RDRAND | Statement: [Intel Secure Key, instructionMnemonic, RDRAND]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionMnemonic Context triple: [Intel Secure Key, instructionMnemonic, RDRAND]
-
A.
instructionMode
Indicates the method or medium through which an instruction, lesson, or teaching activity is delivered.
-
B.
instructionEncoding
Indicates how an instruction is represented or encoded into a specific formal or machine-readable format.
-
C.
instructionSetName
Indicates the specific name assigned to an instruction set associated with an entity or system.
-
D.
instructionSetType
Indicates the type or category of an instruction set associated with a processor or computing architecture.
-
E.
instructionLevel
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
- F. None of above. chosen
Provenance (4 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bf25c881909f049d5393927bfb |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:57 p.m.