Triple
T9754103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramone |
E236511
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | character from Cars |
C23154
|
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: character from Cars Context triple: [Ramone, instanceOf, character from Cars]
-
A.
Transformers character
A Transformers character is a sentient robotic being from the Transformers universe, typically capable of transforming between a humanoid robot form and an alternate mode such as a vehicle, weapon, or creature, with distinct allegiance, personality, and abilities.
-
B.
Toy Story character
A Toy Story character is a sentient toy from the Toy Story universe whose personality, relationships, and adventures explore themes of friendship, loyalty, and identity in a world where toys come to life when humans aren’t watching.
-
C.
anthropomorphic vehicle
chosen
An anthropomorphic vehicle is a machine designed for transportation that exhibits human-like characteristics, such as facial features, emotions, or the ability to communicate and interact socially.
-
D.
fictional car
A fictional car is an imagined vehicle, often with exaggerated or speculative features, created for storytelling, entertainment, or conceptual exploration rather than real-world production.
-
E.
Disney characters
Disney characters are imaginative, often anthropomorphic figures created by The Walt Disney Company that embody distinct personalities and values, appearing across its animated and live-action stories.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:24 p.m.