Triple
T18800840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS CDK |
E459748
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | AWS Elemental MediaConvert |
—
|
NE NERFINISHED |
How this triple was built (3 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: AWS Elemental MediaConvert | Statement: [AWS CDK, supportsService, AWS Elemental MediaConvert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS Elemental MediaConvert Context triple: [AWS CDK, supportsService, AWS Elemental MediaConvert]
-
A.
Amazon Elastic Transcoder
Amazon Elastic Transcoder is a cloud-based media transcoding service that converts video and audio files into different formats and resolutions for playback on various devices.
-
B.
AWS Elemental Media Services
AWS Elemental Media Services is a suite of cloud-based tools from Amazon Web Services for processing, packaging, and delivering live and on-demand video at scale.
-
C.
Adobe Media Encoder
Adobe Media Encoder is a video and audio transcoding application from Adobe that lets users export, compress, and convert media into various formats for playback, broadcast, and online distribution.
-
D.
Amazon Kinesis Video Streams
Amazon Kinesis Video Streams is an AWS service that securely ingests, stores, and processes streaming video for real-time and batch applications such as analytics, machine learning, and playback.
-
E.
AWS Batch
AWS Batch is a fully managed AWS service that efficiently runs and scales batch computing workloads on AWS infrastructure without requiring users to manage servers or job schedulers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWS Elemental MediaConvert Target entity description: AWS Elemental MediaConvert is a cloud-based video transcoding service that lets you convert and package video content at scale for broadcast and multiscreen delivery.
-
A.
Amazon Elastic Transcoder
Amazon Elastic Transcoder is a cloud-based media transcoding service that converts video and audio files into different formats and resolutions for playback on various devices.
-
B.
AWS Elemental Media Services
AWS Elemental Media Services is a suite of cloud-based tools from Amazon Web Services for processing, packaging, and delivering live and on-demand video at scale.
-
C.
Adobe Media Encoder
Adobe Media Encoder is a video and audio transcoding application from Adobe that lets users export, compress, and convert media into various formats for playback, broadcast, and online distribution.
-
D.
Amazon Kinesis Video Streams
Amazon Kinesis Video Streams is an AWS service that securely ingests, stores, and processes streaming video for real-time and batch applications such as analytics, machine learning, and playback.
-
E.
AWS Batch
AWS Batch is a fully managed AWS service that efficiently runs and scales batch computing workloads on AWS infrastructure without requiring users to manage servers or job schedulers.
- F. None of above. chosen
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02332d88190b68feea7f2f86d06 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.