Triple
T38370497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shivrang |
E892562
|
entity |
| Predicate | relationshipTypeWithCeceParekh |
—
|
GENERATED |
| Object | arranged marriage engagement |
—
|
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: relationshipTypeWithCeceParekh Context triple: [Shivrang, relationshipTypeWithCeceParekh, arranged marriage engagement]
-
A.
relationToAkshayKumar
Indicates a specified type of relationship or association that an entity has with Akshay Kumar.
-
B.
relationshipTypeWithSohni
Indicates the specific nature or category of the relationship an entity has with Sohni.
-
C.
relationshipTypeWithCallieSadecki
Indicates the specific nature or category of relationship that an entity has with Callie Sadecki.
-
D.
relationshipTypeWith Alicia Johns
Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
-
E.
hasRelationshipTypeWith Alexandra Bergson
Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.