Triple
T37170580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarlett (Four Weddings and a Funeral) |
E920896
|
entity |
| Predicate | hasRelationshipTypeWithCharles |
—
|
GENERATED |
| Object | friendship |
—
|
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: hasRelationshipTypeWithCharles Context triple: [Scarlett (Four Weddings and a Funeral), hasRelationshipTypeWithCharles, friendship]
-
A.
relationshipToCharlotteCharles
Indicates the specific type of relationship or connection an entity has to Charlotte Charles.
-
B.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
C.
hasRelationshipTypeWithJimmyPorter
Indicates that an entity has a specific type of relationship or connection with Jimmy Porter.
-
D.
relationshipTypeWithCharlesBoyle
Indicates the specific nature or category of the relationship an entity has with Charles Boyle.
-
E.
hasRelationshipTypeWith Valère
Indicates that an entity stands in a specific, characterized type of relationship with Valère.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.