Triple
T28921319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Savage |
E733519
|
entity |
| Predicate | stageCostumeFeature |
P58290
|
FINISHED |
| Object | leopard-print outfits |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: leopard-print outfits | Statement: [Lily Savage, stageCostumeFeature, leopard-print outfits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageCostumeFeature Context triple: [Lily Savage, stageCostumeFeature, leopard-print outfits]
-
A.
stageCostume
Indicates that one entity is a costume specifically used or worn for a performance or stage production by another entity.
-
B.
stageAppearanceFeature
Indicates a characteristic or attribute that is present or displayed in an entity’s stage appearance.
-
C.
costumeFeatures
chosen
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
D.
hasCostumes
Indicates that one entity possesses, provides, or is associated with one or more costumes.
-
E.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
- F. None of above.
Provenance (3 batches)
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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 8:19 a.m.