Triple
T37971248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People v. Balfour |
E947290
|
entity |
| Predicate | relationshipToJenniferHudson |
—
|
GENERATED |
| Object | brother-in-law |
—
|
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: relationshipToJenniferHudson Context triple: [People v. Balfour, relationshipToJenniferHudson, brother-in-law]
-
A.
hasRelationshipTypeWithJenniferHart
Indicates that an entity has a specific, defined type of relationship with Jennifer Hart.
-
B.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
C.
relationshipToJeanieDeans
Indicates the specific type of relationship or connection an entity has to Jeanie Deans.
-
D.
relationshipToAmyJuergens
Indicates the specific interpersonal or familial connection that an entity has to Amy Juergens.
-
E.
relationshipTypeWith Alicia Johns
Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.