Triple
T4235145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Tippett |
E94674
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | visual effects supervisor |
C15385
|
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: visual effects supervisor Context triple: [Phil Tippett, instanceOf, visual effects supervisor]
-
A.
special effects supervisor
A special effects supervisor oversees the design, planning, and execution of practical and digital effects for film, television, or live productions to achieve the desired visual impact safely and convincingly.
-
B.
visual effects artist
A visual effects artist is a creative professional who designs, creates, and integrates digital imagery and effects into live-action or animated media to enhance or transform the visual storytelling.
-
C.
special effects studio
A special effects studio is a creative production facility that designs, develops, and executes visual and practical effects for film, television, games, and other media to enhance or transform on-screen imagery.
-
D.
special effects studio
A special effects studio is a creative production facility that designs, develops, and implements visual and practical effects for film, television, games, and other media to enhance or simulate on-screen realities.
-
E.
special effects makeup artist
A special effects makeup artist is a professional who designs and applies prosthetics, cosmetics, and other materials to transform performers’ appearances for film, television, theater, and live events, often creating realistic injuries, creatures, or fantastical characters.
- F. None of above. chosen
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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:05 p.m.