Triple
T5255595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvira, Mistress of the Dark |
E118688
|
entity |
| Predicate | signatureCostume |
P58290
|
FINISHED |
| Object | low-cut black dress |
—
|
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: low-cut black dress | Statement: [Elvira, Mistress of the Dark, signatureCostume, low-cut black dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signatureCostume Context triple: [Elvira, Mistress of the Dark, signatureCostume, low-cut black dress]
-
A.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
B.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
C.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
D.
costumeFeatures
chosen
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
E.
costumeDesignStyle
Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba2f5d08190850529659901ae0f |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.