Triple
T28923613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna: True Blue (music video) |
E733584
|
entity |
| Predicate | featuresCostumeStyle |
P58290
|
FINISHED |
| Object | 1950s-inspired fashion |
—
|
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: 1950s-inspired fashion | Statement: [Madonna: True Blue (music video), featuresCostumeStyle, 1950s-inspired fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCostumeStyle Context triple: [Madonna: True Blue (music video), featuresCostumeStyle, 1950s-inspired fashion]
-
A.
costumeDesignStyle
Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
-
B.
costumeFeatures
chosen
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
C.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
D.
usesCostumeStyle
Indicates that one entity employs or incorporates the costume style associated with another entity.
-
E.
costumeInspiration
Indicates that one entity serves as the creative source or model for another entity’s costume design.
- 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_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: April 28, 2026, 8:21 a.m.