Triple
T7941743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Media Player |
E184407
|
entity |
| Predicate | supportsFormat |
P203
|
FINISHED |
| Object | AVI |
E193860
|
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: AVI | Statement: [Windows Media Player, supportsFormat, AVI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVI Context triple: [Windows Media Player, supportsFormat, AVI]
-
A.
AVI
chosen
AVI (Audio Video Interleave) is a multimedia container format developed by Microsoft for storing synchronized audio and video data.
-
B.
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.
-
C.
WMV
WMV (Windows Media Video) is a series of Microsoft-developed video compression formats commonly used for streaming and storing digital video on Windows platforms.
-
D.
Matroska
Matroska is an open standard, extensible multimedia container format best known for its MKV files that can hold multiple video, audio, subtitle, and metadata streams in a single package.
-
E.
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.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:09 p.m.