Triple
T38367921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inversion |
E892499
|
entity |
| Predicate | associatedWithProductionYear |
—
|
GENERATED |
| Object | 2019–2020 |
—
|
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: associatedWithProductionYear Context triple: [Inversion, associatedWithProductionYear, 2019–2020]
-
A.
associatedWithYearFilm
Indicates a relationship where something (such as an event, award, or record) is linked to or pertains to a specific film released or identified in a given year.
-
B.
yearOfProduction
chosen
Indicates the specific year in which an item, work, or product was created or manufactured.
-
C.
yearAssociated
Indicates a specific year that is relevant or linked to an entity, event, or relationship (such as the year it occurred, was created, or is otherwise associated).
-
D.
associatedWithAlbumReleaseYear
Indicates that there is a relationship between an album and the specific year in which that album was released.
-
E.
associatedClassYear
Indicates a relationship linking an entity to the specific academic class year with which it is connected or identified.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.