Triple
T9027100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel SSE |
E216074
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Intel MMX |
E643844
|
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: Intel MMX | Statement: [Intel SSE, predecessor, Intel MMX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intel MMX Context triple: [Intel SSE, predecessor, Intel MMX]
-
A.
Intel SSE
Intel SSE is a set of SIMD (Single Instruction, Multiple Data) instruction extensions for x86 processors designed to accelerate multimedia, gaming, and scientific applications through parallel data processing.
-
B.
3DNow!
3DNow! is a SIMD instruction set extension developed by AMD to accelerate floating-point and multimedia processing, particularly for 3D graphics and gaming workloads.
-
C.
MMX
MMX (Martian Moons eXploration) is a JAXA-led space mission designed to explore Mars’s moons, particularly Phobos, and return samples to Earth for detailed analysis.
-
D.
MMX
chosen
MMX is an Intel multimedia extension technology that adds SIMD instructions to accelerate tasks like audio, video, and graphics processing on compatible processors.
-
E.
Intel AVX
Intel AVX is an x86 processor instruction set extension from Intel that accelerates floating-point and vector-intensive workloads, commonly used in high-performance computing, multimedia, and scientific 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7eb5b881908ace0c3327f06161 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.