Triple
T33626607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labanotation |
E861421
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | human movement analysis method |
C59197
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: human movement analysis method Context triple: [Labanotation, instanceOf, human movement analysis method]
-
A.
movement analysis concept
chosen
A movement analysis concept is a theoretical framework or principle used to observe, describe, and interpret the quality, mechanics, and patterns of human or object motion.
-
B.
motion-capture software
Motion-capture software is a digital tool that records, tracks, and translates real-world human or object movements into precise, manipulable data for animation, analysis, or interactive applications.
-
C.
optical flow-based method
An optical flow-based method is a technique that estimates the motion of objects, surfaces, or edges in a visual scene by analyzing the apparent pixel intensity changes between consecutive image frames.
-
D.
movement training system
A movement training system is an integrated framework of tools, methods, and feedback mechanisms designed to assess, guide, and improve the quality, efficiency, and safety of human movement.
-
E.
movement theorist
A movement theorist is a scholar or practitioner who analyzes, conceptualizes, and explains the principles, dynamics, and meanings of human or collective movement within social, political, artistic, or physical contexts.
- F. None of above.
Provenance (1 batch)
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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:41 a.m.