Triple
T31317065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Belong with Me |
E798624
|
entity |
| Predicate | featuresInMusicVideoRole |
P178044
|
FINISHED |
| Object | Taylor Swift as protagonist |
—
|
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: Taylor Swift as protagonist | Statement: [You Belong with Me, featuresInMusicVideoRole, Taylor Swift as protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresInMusicVideoRole Context triple: [You Belong with Me, featuresInMusicVideoRole, Taylor Swift as protagonist]
-
A.
musicVideoProtagonist
chosen
Indicates that an entity serves as the main featured character or performer in a particular music video.
-
B.
musicVideoFeatures
Indicates that a music video includes or prominently showcases a particular person, group, or element.
-
C.
settingOfMusicVideo
Indicates the primary location or environment in which a music video takes place or is filmed.
-
D.
musicVideoCharacterName
Indicates that the predicate specifies the name of a character appearing in a music video.
-
E.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a007338002081908cb6340d65ff86d5 |
completed | May 10, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a0072a137ac8190a7debeb28e738e03 |
completed | May 10, 2026, 11:57 a.m. |
Created at: April 29, 2026, 9:15 p.m.