Triple
T34938623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert (Cathedral) |
E1007650
|
entity |
| Predicate | relationshipToNarratorWife |
—
|
GENERATED |
| Object | close friend |
—
|
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: relationshipToNarratorWife Context triple: [Robert (Cathedral), relationshipToNarratorWife, close friend]
-
A.
hasSpouseInStory
Indicates that one entity is depicted as the spouse of another within the context of a particular story or narrative.
-
B.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
C.
spouseOfWork
Indicates that one person is the spouse of another specifically in the context of their workplace or professional environment.
-
D.
spouseInQuestion
Indicates that the referenced person is the spouse of the primary entity being discussed or queried.
-
E.
spouseOfProtagonistOf
Indicates that one entity is the spouse (married partner) of the main character (protagonist) of another entity, typically a narrative work.
- F. None of above. chosen
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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.