Triple
T35913056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Kimble Johnson |
E1038671
|
entity |
| Predicate | hasNotableSongScene |
—
|
GENERATED |
| Object | Tonight You Belong to Me |
—
|
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: hasNotableSongScene Context triple: [Marie Kimble Johnson, hasNotableSongScene, Tonight You Belong to Me]
-
A.
hasNotableSongFeature
Indicates that one entity (typically a song) includes a significant or noteworthy contribution, appearance, or characteristic involving another entity.
-
B.
hasNotableSongType
Indicates that an entity is associated with a specific type or category of notable song.
-
C.
hasDanceSceneWith
Indicates that two entities participate together in a dance scene within the same context or work.
-
D.
notableScene
chosen
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
E.
hasNotableSongNumber
Indicates that an entity is associated with a specific song identified by its notable number or index within a collection or sequence.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.