Triple
T29993598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pray for Me |
E761954
|
entity |
| Predicate | associatedPerformerGender |
—
|
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: associatedPerformerGender Context triple: [Pray for Me, associatedPerformerGender, female]
-
A.
hasPerformerGender
chosen
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
B.
originalPerformerGender
Indicates the gender of the person who first performed or originated the work, role, or piece.
-
C.
hasPerformerGenderComposition
Indicates the gender makeup of the group of performers involved in an event or performance.
-
D.
producerGender
Indicates that a producer has a specified gender in the context of a production or work.
-
E.
hasComposerGender
Indicates that an entity has a composer whose gender is specified by the related value.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:39 p.m.