Triple
T8289649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPEG |
E193861
|
entity |
| Predicate | hasStandard |
P1371
|
FINISHED |
| Object | MPEG-4 Part 10 |
E53638
|
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: MPEG-4 Part 10 | Statement: [MPEG, hasStandard, MPEG-4 Part 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPEG-4 Part 10 Context triple: [MPEG, hasStandard, MPEG-4 Part 10]
-
A.
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.
-
B.
H.264
chosen
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-4 Part 2
MPEG-4 Part 2 is a video compression standard used for encoding digital video, notably in early MPEG-4 and DivX/Xvid formats.
-
D.
ISO/IEC 14496
ISO/IEC 14496 is an international standard better known as MPEG-4, defining methods for coding audio-visual objects for multimedia, web, and broadcast applications.
-
E.
MPEG-H
MPEG-H is a family of ISO/IEC standards developed by MPEG for advanced audio and multimedia coding, including immersive and 3D audio applications.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c99fdd48190a3f304237be609a0 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952399dc8190914951d4e9e36c38 |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:52 p.m.