Triple
T10355787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laban movement analysis |
E243994
|
entity |
| Predicate | shapeConcept |
P1464
|
FINISHED |
| Object | shape flow |
—
|
LITERAL 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: shape flow | Statement: [Laban movement analysis, shapeConcept, shape flow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeConcept Context triple: [Laban movement analysis, shapeConcept, shape flow]
-
A.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
C.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
D.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
-
E.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
- F. None of above.
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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e953d4888190b7ca0ac932349dbf |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:58 a.m.