Triple
T11536797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motion |
E273570
|
entity |
| Predicate | fileFormat |
P130
|
FINISHED |
| Object | QuickTime |
E155909
|
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: QuickTime | Statement: [Motion, fileFormat, QuickTime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QuickTime Context triple: [Motion, fileFormat, QuickTime]
-
A.
QuickTime
chosen
QuickTime is Apple’s multimedia framework and file format standard used for handling and playing digital video, audio, and interactive content across platforms.
-
B.
Quartz Extreme
Quartz Extreme is a graphics acceleration technology in macOS that offloads window compositing and interface rendering to the computer’s GPU for smoother visual performance.
-
C.
Final Cut Pro
Final Cut Pro is Apple's professional non-linear video editing software widely used for film, television, and content creation on macOS.
-
D.
HFS Plus
HFS Plus is a proprietary journaling file system developed by Apple for use in macOS and earlier Macintosh operating systems, succeeding the original HFS to support larger files and volumes.
-
E.
Cinepak
Cinepak is an early video compression codec widely used in the 1990s for CD-ROM and multimedia applications due to its ability to play smoothly on low-powered hardware.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839cdf688190ae75c0e6fece8e33 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6859b14e08190b8173a4b5dc8c2c5 |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.