Triple
T38522251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucille Cameron |
E922513
|
entity |
| Predicate | countryOfMarriageControversy |
—
|
GENERATED |
| Object | United States |
—
|
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: countryOfMarriageControversy Context triple: [Lucille Cameron, countryOfMarriageControversy, United States]
-
A.
marriageControversyInvolved
Indicates that an entity is involved in a dispute, scandal, or public controversy related to a marriage.
-
B.
marriagePartnerOfControversialFigure
Indicates that one entity is the spouse of a figure who is widely regarded as controversial.
-
C.
marriageDefied
Indicates that a marriage went against, resisted, or violated expected norms, rules, or prohibitions.
-
D.
marriageTerritory
chosen
Indicates that a marriage is legally or socially recognized within a specific geographic or jurisdictional territory.
-
E.
typeOfMarriagePolitics
Indicates the political or legal framework governing a particular type of marriage, such as its recognition, regulation, or associated policies.
- F. None of above.
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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:32 p.m.