Triple
T23249729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy (1995 music video) |
E581698
|
entity |
| Predicate | featuresArtistAppearance |
P90355
|
FINISHED |
| Object | Mariah Carey roller skating |
—
|
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: Mariah Carey roller skating | Statement: [Fantasy (1995 music video), featuresArtistAppearance, Mariah Carey roller skating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistAppearance Context triple: [Fantasy (1995 music video), featuresArtistAppearance, Mariah Carey roller skating]
-
A.
hasStudioAlbumAppearance
Indicates that an entity appears as a performer or contributor on a particular studio album.
-
B.
capturesArtistAt
Indicates a relationship where an entity records or depicts an artist at a particular moment, event, or context.
-
C.
featuredInTourSetlistOf
Indicates that an item (such as a song or performance) appears as part of the setlist for a specific tour.
-
D.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
E.
featuresPerformerCameo
chosen
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
- 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.