Triple
T30243893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Bourne (2016 film) score |
E769000
|
entity |
| Predicate | primaryCharacterAssociatedWith |
—
|
GENERATED |
| Object | Jason Bourne |
—
|
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: primaryCharacterAssociatedWith Context triple: [Jason Bourne (2016 film) score, primaryCharacterAssociatedWith, Jason Bourne]
-
A.
fictionalCharacterAssociatedWith
chosen
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
-
B.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
C.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
D.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
E.
laterMainCharacterOf
Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:39 p.m.