Triple
T37840828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Hartnell (vintage gown loaned by Queen Elizabeth II) |
E943469
|
entity |
| Predicate | originalWearer |
—
|
GENERATED |
| Object | Queen Elizabeth II |
—
|
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: originalWearer Context triple: [Norman Hartnell (vintage gown loaned by Queen Elizabeth II), originalWearer, Queen Elizabeth II]
-
A.
primaryWearer
Indicates that one entity is the main or principal user or wearer of another entity (such as an item or garment).
-
B.
laterWearer
Indicates that one entity is a subsequent or later wearer/user of an item previously worn or used by another entity.
-
C.
wearerMayRetain
Indicates that the wearer is allowed to keep or continue possessing the item in question.
-
D.
probableOriginalOwner
Indicates that one entity is likely, though not certainly, the original owner or possessor of another entity.
-
E.
temporarilyWornBy
Indicates that an item is being worn by an entity for a limited or non-permanent period of time.
- F. None of above. chosen
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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.