Triple
T37375983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Ann in Autumn |
E927981
|
entity |
| Predicate | hasPrequelRelation |
—
|
GENERATED |
| Object | preceded by Michael Tolliver Lives |
—
|
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: hasPrequelRelation Context triple: [Mary Ann in Autumn, hasPrequelRelation, preceded by Michael Tolliver Lives]
-
A.
isPrequelTo
chosen
Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
-
B.
hasAnimatedPrequel
Indicates that one work serves as an earlier, animated installment in the narrative or release sequence of another work.
-
C.
prequelOrSequelTo
Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
-
D.
hasSequelOrRelated
Indicates that one work follows, continues, or is otherwise narratively or thematically related to another work.
-
E.
hasSequelType
Indicates that one work has a sequel of a specified type or category in relation to another work.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.