Triple
T22814557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media Source Extensions |
E565064
|
entity |
| Predicate | performanceConsideration |
P20527
|
FINISHED |
| Object | buffer size management |
—
|
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: buffer size management | Statement: [Media Source Extensions, performanceConsideration, buffer size management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceConsideration Context triple: [Media Source Extensions, performanceConsideration, buffer size management]
-
A.
performance
Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
-
B.
performanceUse
Indicates that something is used, employed, or utilized in the course of performing an action, task, or function.
-
C.
impactOnPerformance
chosen
Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
-
D.
performanceTuningBy
Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by another entity.
-
E.
performanceMeasurement
Indicates the act of assessing, quantifying, or evaluating how well an entity, process, or system performs against defined criteria or objectives.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d62b0ec8190ac22909192e8a876 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.