Triple
T7941761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Media Player |
E184407
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | Media Player |
E184407
|
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: Media Player | Statement: [Windows Media Player, previousName, Media Player]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Media Player Context triple: [Windows Media Player, previousName, Media Player]
-
A.
Windows Media Player
chosen
Windows Media Player is Microsoft’s built-in multimedia application for playing audio, video, and streaming media on Windows operating systems.
-
B.
VLC
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
-
C.
Midasplayer.com
Midasplayer.com is the original name of King Digital Entertainment, the company best known for developing the hit mobile game Candy Crush Saga.
-
D.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
E.
Music Multimedia Room
The Music Multimedia Room is a specialized facility at the Schulich School of Music designed for integrating music performance, recording, and advanced audio-visual technologies.
- 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.