Triple
T34896720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Connelly |
E1006454
|
entity |
| Predicate | hasRelationshipTypeWithHollyKennedy |
—
|
GENERATED |
| Object | emotional support |
—
|
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: hasRelationshipTypeWithHollyKennedy Context triple: [Daniel Connelly, hasRelationshipTypeWithHollyKennedy, emotional support]
-
A.
hasRelationshipTypeWithRoryGilmore
Indicates that an entity has a specific type of interpersonal relationship or connection with Rory Gilmore.
-
B.
hasRelationshipTypeWith Owen Hunt
Indicates that there exists a specific type of interpersonal or relational connection between an entity and Owen Hunt.
-
C.
hasRelationshipTypeWithJenniferHart
Indicates that an entity has a specific, defined type of relationship with Jennifer Hart.
-
D.
hasRelationshipTypeWithJoelKnox
Indicates that an entity has a specific type of relationship or association with Joel Knox.
-
E.
hasRelationshipTypeWithDrewCarey
Indicates that an entity has a specific type of interpersonal or professional relationship with Drew Carey.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.