Triple
T13320198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phenom |
E317293
|
entity |
| Predicate | supportsInstructionSet |
P9897
|
FINISHED |
| Object | SSE3 |
E164899
|
NE 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: SSE3 | Statement: [Phenom, supportsInstructionSet, SSE3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSE3 Context triple: [Phenom, supportsInstructionSet, SSE3]
-
A.
SSE3
chosen
SSE3 (Streaming SIMD Extensions 3) is an Intel CPU instruction set extension that adds additional SIMD operations to improve performance in multimedia, gaming, and scientific applications.
-
B.
SSE4
SSE4 is a set of x86 SIMD instruction set extensions introduced by Intel to accelerate multimedia, graphics, and data-processing workloads beyond earlier SSE versions.
-
C.
SSSE3
SSSE3 (Supplemental Streaming SIMD Extensions 3) is an Intel SIMD instruction set extension that enhances performance for multimedia, signal processing, and other parallelizable workloads.
-
D.
SSE2
SSE2 is an x86 processor instruction set extension introduced by Intel that adds advanced SIMD (Single Instruction, Multiple Data) capabilities for faster floating-point and integer computations.
-
E.
SSE4.2
SSE4.2 is an Intel x86 instruction set extension that adds advanced string, text-processing, and CRC instructions to improve performance in multimedia, gaming, and data-processing applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2a8ba88190a59bc4840ec8ad13 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:29 p.m.