Triple
T23249745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy (1995 music video) |
E581698
|
entity |
| Predicate | featuresWardrobe |
P19025
|
FINISHED |
| Object | casual 1990s 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: casual 1990s fashion | Statement: [Fantasy (1995 music video), featuresWardrobe, casual 1990s fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresWardrobe Context triple: [Fantasy (1995 music video), featuresWardrobe, casual 1990s fashion]
-
A.
wardrobeFeature
chosen
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
B.
clothingFeature
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
-
C.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
D.
fashionCharacteristic
Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
-
E.
wardrobeColorTheme
Indicates that there is a relationship specifying the dominant or intended color scheme used for a wardrobe.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f4d7e4819085eec6279696db34 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.