Triple
T9740617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Audio Coding |
E236174
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Vorbis |
E620094
|
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: Vorbis | Statement: [Advanced Audio Coding, competesWith, Vorbis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vorbis Context triple: [Advanced Audio Coding, competesWith, Vorbis]
-
A.
Vorbis
chosen
Vorbis is a fanatical and manipulative high priest and inquisitor who serves as the primary antagonist in Terry Pratchett’s Discworld novel "Small Gods."
-
B.
WavPack
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
-
C.
Indeo
Indeo is a family of video codecs developed by Intel that was widely used in the 1990s for compressed digital video playback on personal computers.
-
D.
Monkey's Audio
Monkey's Audio is a lossless audio compression format and codec known for its high compression ratios and Windows-focused software tools.
-
E.
MPEG-1 Audio Layer III
MPEG-1 Audio Layer III, commonly known as MP3, is a widely used digital audio encoding format that compresses sound data to significantly reduce file size while maintaining acceptable sound quality.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f29a5bc8190b2b391017405c71e |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afe974608190874e2aba2189de80 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:22 p.m.