Triple
T287000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows |
E5904
|
entity |
| Predicate | supportsMultimediaFramework |
P203
|
FINISHED |
| Object | Media Foundation |
E1649
|
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: Media Foundation | Statement: [Windows, supportsMultimediaFramework, Media Foundation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Media Foundation Context triple: [Windows, supportsMultimediaFramework, Media Foundation]
-
A.
Microsoft
chosen
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
-
B.
Opera Software
Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
-
C.
Micros Systems
Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
-
D.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
-
E.
Surface Hub
Surface Hub is Microsoft's large interactive whiteboard and collaboration device designed for meetings, presentations, and team productivity in business and educational environments.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a260d21e5881909f3baba8b8dfff92 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d078ad88190b4fce535c8ea9a80 |
completed | March 1, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.