Triple
T35748299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goolagong-Cawley |
E1033245
|
entity |
| Predicate | hasMarriedNamePart |
—
|
GENERATED |
| Object | Cawley |
—
|
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: hasMarriedNamePart Context triple: [Goolagong-Cawley, hasMarriedNamePart, Cawley]
-
A.
hasMarriedSurname
chosen
Indicates that a person’s current surname is the one they adopted through marriage.
-
B.
laterMarriedName
Indicates that the referenced name is a surname or full name a person adopted after a later marriage, replacing or succeeding their previous name.
-
C.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
D.
marriedToFrom
Indicates that one entity is married to another, with the direction emphasizing the spouse or origin of the marital relationship.
-
E.
marriedIn
Indicates that two entities entered into a marital relationship at a specific place or within a particular jurisdiction.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.