Triple
T17417430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AV1 |
E423521
|
entity |
| Predicate | openSourceDecoder |
P127371
|
FINISHED |
| Object | dav1d |
—
|
NE NERFINISHED |
How this triple was built (4 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: dav1d | Statement: [AV1, openSourceDecoder, dav1d]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dav1d Context triple: [AV1, openSourceDecoder, dav1d]
-
A.
FFmpeg
FFmpeg is a widely used open-source multimedia framework for decoding, encoding, transcoding, streaming, and processing audio and video across numerous formats and platforms.
-
B.
AV1
AV1 is a royalty-free, next-generation video compression codec developed by the Alliance for Open Media to efficiently deliver high-quality video over the internet.
-
C.
VLC media player
VLC media player is a free, open-source, cross-platform multimedia player and framework known for playing a vast range of audio and video formats without needing additional codecs.
-
D.
VLC
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
-
E.
VLC
VLC is the official abbreviation for the Victorian Legislative Council, the upper house of the Parliament of Victoria in Australia.
- 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: dav1d Target entity description: dav1d is a high-performance, open-source software decoder specifically optimized for efficiently decoding AV1 video streams across a wide range of platforms.
-
A.
FFmpeg
FFmpeg is a widely used open-source multimedia framework for decoding, encoding, transcoding, streaming, and processing audio and video across numerous formats and platforms.
-
B.
AV1
AV1 is a royalty-free, next-generation video compression codec developed by the Alliance for Open Media to efficiently deliver high-quality video over the internet.
-
C.
VLC media player
VLC media player is a free, open-source, cross-platform multimedia player and framework known for playing a vast range of audio and video formats without needing additional codecs.
-
D.
VLC
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
-
E.
VLC
VLC is the official abbreviation for the Victorian Legislative Council, the upper house of the Parliament of Victoria in Australia.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openSourceDecoder Context triple: [AV1, openSourceDecoder, dav1d]
-
A.
openSource
Indicates that the subject makes its source code publicly available under a license that allows others to use, modify, and redistribute it.
-
B.
openSourceAttempt
Indicates an attempt or effort by an entity to make something open source, such as releasing code or resources under an open-source license.
-
C.
openSourceProject
Indicates that the subject is a software project whose source code is publicly available and can be used, modified, and redistributed under an open-source license.
-
D.
coDecipherer
Indicates that two or more entities jointly participated in deciphering or decoding something together.
-
E.
openSourceComponents
Indicates that one entity uses, includes, or is composed of open-source software components provided by another entity.
- F. None of above. chosen
Provenance (4 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44233c7888190a4d2aa703b206851 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.