Triple
T9002134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VC-1 |
E215061
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Windows Media Video 9 |
E193862
|
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: Windows Media Video 9 | Statement: [VC-1, basedOn, Windows Media Video 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windows Media Video 9 Context triple: [VC-1, basedOn, Windows Media Video 9]
-
A.
Video for Windows
Video for Windows is an early Microsoft multimedia framework and API for Windows that enabled digital video playback and editing on PCs in the 1990s.
-
B.
WMV
chosen
WMV (Windows Media Video) is a series of Microsoft-developed video compression formats commonly used for streaming and storing digital video on Windows platforms.
-
C.
DivX
DivX is a proprietary video codec and software suite known for enabling high-quality video compression suitable for digital distribution and playback.
-
D.
MPEG-4
MPEG-4 is a multimedia compression and coding standard widely used for digital audio, video, and interactive media distribution over the internet and other networks.
-
E.
Windows Media
Windows Media is a collection of Microsoft multimedia technologies and formats used for playing, streaming, and encoding audio and video on Windows platforms.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ddb1648190a50f8877218d9883 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.