Triple
T35007803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Tamaran |
E1009858
|
entity |
| Predicate | notableBearerGender |
—
|
GENERATED |
| Object | female |
—
|
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: notableBearerGender Context triple: [Princess of Tamaran, notableBearerGender, female]
-
A.
notableBearerNationality
Indicates that the subject has a notable bearer whose nationality is the specified object.
-
B.
notableBearerFullName
Indicates that a full personal name is that of a notable or well-known bearer associated with the referenced entity.
-
C.
notableBearerPersonality
Indicates that the person who notably bears or holds something does so with a particular personality, character, or behavioral style.
-
D.
bearerGender
chosen
Indicates the gender associated with the bearer in the relationship or context.
-
E.
notableBearerEthnicity
Indicates that the notable person bearing something (such as a name, title, or role) belongs to a specified ethnic group.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.