Triple
T38115234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Transvestite |
E951769
|
entity |
| Predicate | hasCostumeElements |
—
|
GENERATED |
| Object | corset |
—
|
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: hasCostumeElements Context triple: [Sweet Transvestite, hasCostumeElements, corset]
-
A.
hasCostumes
Indicates that one entity possesses, provides, or is associated with one or more costumes.
-
B.
hasCostumesFrom
Indicates that one entity possesses or includes costumes that originate from, are inspired by, or are associated with another entity.
-
C.
hasCostumeBrand
Indicates that an entity’s costume is associated with or produced by a particular brand.
-
D.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
-
E.
costumeElement
chosen
Indicates that one item functions as a component or part of another item's costume.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.