Triple
T37297130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bugs Bunny/Road Runner Movie |
E925834
|
entity |
| Predicate | featuresFramingSegments |
—
|
GENERATED |
| Object | new animation with Bugs Bunny in his home |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFramingSegments Context triple: [The Bugs Bunny/Road Runner Movie, featuresFramingSegments, new animation with Bugs Bunny in his home]
-
A.
featuresSegment
chosen
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
B.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
C.
framesAs
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
D.
fieldsPerFrame
Indicates the number of discrete fields that compose each video frame in an interlaced video signal.
-
E.
featuresSequence
Indicates that one entity presents or contains another entity as an ordered sequence of features or elements.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.