Triple
T25677424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMX |
E643844
|
entity |
| Predicate | effectOnSoftware |
P13559
|
FINISHED |
| Object | requires specific compiler or hand-written assembly optimizations |
—
|
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: requires specific compiler or hand-written assembly optimizations | Statement: [MMX, effectOnSoftware, requires specific compiler or hand-written assembly optimizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnSoftware Context triple: [MMX, effectOnSoftware, requires specific compiler or hand-written assembly optimizations]
-
A.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
B.
affectsProgram
chosen
Indicates that one entity produces an influence or change on a program, altering its behavior, state, or outcome.
-
C.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
D.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
E.
targetedSoftware
Indicates that a particular piece of software is the specific focus or target of an action, operation, or effect.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 7:41 p.m.