Triple
T34929231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa |
E1007379
|
entity |
| Predicate | hasRelationshipTypeWithLuke |
—
|
GENERATED |
| Object | romantic relationship |
—
|
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: hasRelationshipTypeWithLuke Context triple: [Lisa, hasRelationshipTypeWithLuke, romantic relationship]
-
A.
hasRelationshipTypeWithLukas
Indicates that an entity has a specific type of relationship or connection with Lukas.
-
B.
hasRelationshipTypeWithMerlin
Indicates that an entity has a specific type of relationship or connection with Merlin.
-
C.
hasRelationshipTypeWithCeleste
Indicates that an entity has a specific type of relationship or connection with Celeste.
-
D.
hasRelationshipTypeWith Anastasia Steele
Indicates that an entity has a specific type of relationship or relational role with Anastasia Steele.
-
E.
hasRelationshipTypeWithRocky
Indicates that an entity has a specific type of relationship or connection with the entity named Rocky.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.