Triple
T33057401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MICKEY 2.0 |
E845878
|
entity |
| Predicate | hasIVSize |
P5657
|
FINISHED |
| Object | 80 bits |
—
|
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: 80 bits | Statement: [MICKEY 2.0, hasIVSize, 80 bits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIVSize Context triple: [MICKEY 2.0, hasIVSize, 80 bits]
-
A.
usesInitializationVectorLength
chosen
Indicates that an entity employs an initialization vector (IV) of a specified length in a cryptographic or security-related operation.
-
B.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
C.
keyAndIVLengthEqual
Indicates that the cryptographic key and initialization vector (IV) have the same length.
-
D.
hasSizeDescriptor
Indicates that an entity is associated with a qualitative description of its size (e.g., small, large, huge).
-
E.
hasStateSizeBits
Indicates the number of bits used to represent the size of a state in a system or data structure.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:25 a.m.