Triple
T26630944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAGI |
E668488
|
entity |
| Predicate | SynthavisionType |
P161073
|
FINISHED |
| Object | 3D computer graphics system |
—
|
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: 3D computer graphics system | Statement: [MAGI, SynthavisionType, 3D computer graphics system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SynthavisionType Context triple: [MAGI, SynthavisionType, 3D computer graphics system]
-
A.
synthesisType
Indicates the specific method, process, or pathway by which something is synthesized or produced.
-
B.
soundSynthesisType
Indicates the method or technique used to generate or construct a sound signal.
-
C.
visualTone
Indicates how the visual style, mood, or aesthetic quality of one entity relates to or affects another.
-
D.
sequencerType
Indicates the specific kind or category of sequencer associated with or used in relation to an entity.
-
E.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
- F. None of above. chosen
Provenance (4 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615ed5e408190b03300231f23bdfc |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:25 a.m.