FFmpeg
E653480
FFmpeg is a widely used open-source multimedia framework for decoding, encoding, transcoding, streaming, and processing audio and video across numerous formats and platforms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| FFmpeg canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7279476 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FFmpeg Context triple: [Intel Quick Sync Video, supportedBy, FFmpeg]
-
A.
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.
-
B.
H.264
H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
-
C.
MPEG
MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
-
D.
DaVinci Resolve
DaVinci Resolve is a professional video editing, color grading, visual effects, and audio post-production software suite widely used in film and television.
-
E.
VLC
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
- 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: FFmpeg Target entity description: FFmpeg is a widely used open-source multimedia framework for decoding, encoding, transcoding, streaming, and processing audio and video across numerous formats and platforms.
-
A.
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.
-
B.
H.264
H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
-
C.
MPEG
MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
-
D.
DaVinci Resolve
DaVinci Resolve is a professional video editing, color grading, visual effects, and audio post-production software suite widely used in film and television.
-
E.
VLC
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
- F. None of above. chosen
Statements (90)
| Predicate | Object |
|---|---|
| instanceOf |
free and open-source software
ⓘ
multimedia framework ⓘ software library collection ⓘ |
| component |
ffmpeg command-line tool
ⓘ
ffplay command-line tool ⓘ ffprobe command-line tool ⓘ libavcodec NERFINISHED ⓘ libavfilter NERFINISHED ⓘ libavformat NERFINISHED ⓘ libavutil NERFINISHED ⓘ libswresample NERFINISHED ⓘ libswscale NERFINISHED ⓘ |
| developer | FFmpeg project NERFINISHED ⓘ |
| license |
GPL
NERFINISHED
ⓘ
LGPL NERFINISHED ⓘ |
| name | FFmpeg NERFINISHED ⓘ |
| programmingLanguage | C ⓘ |
| supports |
audio decoding
ⓘ
audio encoding ⓘ audio processing ⓘ codec formats ⓘ container formats ⓘ demuxing ⓘ filtering ⓘ muxing ⓘ streaming ⓘ subtitle handling ⓘ transcoding ⓘ video decoding ⓘ video encoding ⓘ video processing ⓘ |
| supportsArchitecture |
ARM
NERFINISHED
ⓘ
PowerPC NERFINISHED ⓘ x86 ⓘ x86-64 ⓘ |
| supportsFeature |
GPU acceleration
ⓘ
audio normalization ⓘ frame extraction ⓘ hardware-accelerated decoding ⓘ hardware-accelerated encoding ⓘ metadata editing ⓘ multi-threading ⓘ network streaming ⓘ stream copying ⓘ subtitle burn-in ⓘ thumbnail generation ⓘ video concatenation ⓘ |
| supportsFormat |
AAC
NERFINISHED
ⓘ
AVI NERFINISHED ⓘ FLV NERFINISHED ⓘ H.264 NERFINISHED ⓘ H.265 ⓘ MKV ⓘ MOV ⓘ MP3 ⓘ MP4 ⓘ OGG NERFINISHED ⓘ Opus NERFINISHED ⓘ VP9 NERFINISHED ⓘ Vorbis NERFINISHED ⓘ WebM NERFINISHED ⓘ |
| supportsOperatingSystem |
Android
NERFINISHED
ⓘ
BSD NERFINISHED ⓘ Linux ⓘ Windows NERFINISHED ⓘ iOS NERFINISHED ⓘ macOS NERFINISHED ⓘ |
| supportsProtocol |
HLS
ⓘ
HTTP NERFINISHED ⓘ HTTPS ⓘ MPEG-DASH NERFINISHED ⓘ RTMP NERFINISHED ⓘ RTSP NERFINISHED ⓘ |
| supportsStandard |
AV1
ⓘ
H.264/AVC NERFINISHED ⓘ H.265/HEVC NERFINISHED ⓘ MPEG-4 NERFINISHED ⓘ VP8 NERFINISHED ⓘ VP9 NERFINISHED ⓘ |
| useCase |
audio filtering
ⓘ
audio resampling ⓘ audio transcoding ⓘ bitrate adjustment ⓘ format conversion ⓘ live streaming ⓘ screen recording ⓘ video filtering ⓘ video scaling ⓘ video transcoding ⓘ |
| website | https://ffmpeg.org/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: FFmpeg Description of subject: FFmpeg is a widely used open-source multimedia framework for decoding, encoding, transcoding, streaming, and processing audio and video across numerous formats and platforms.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.