Triple
T23328204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prom Queen |
E591357
|
entity |
| Predicate | hasMusicVideoProject |
P46145
|
FINISHED |
| Object | Midnight Veil visual album |
—
|
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: Midnight Veil visual album | Statement: [Prom Queen, hasMusicVideoProject, Midnight Veil visual album]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicVideoProject Context triple: [Prom Queen, hasMusicVideoProject, Midnight Veil visual album]
-
A.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
B.
hasMusicVideoCharacteristic
Indicates that a music video possesses a specific attribute, feature, or quality.
-
C.
hasViralMusicVideo
Indicates that an entity possesses or is associated with a music video that has achieved viral popularity or widespread online circulation.
-
D.
musicVideoProject
chosen
Indicates a relationship where an entity is involved in, associated with, or serves as a project for creating or producing a music video.
-
E.
hasMusicVideoPerformer
Indicates that a music video features a specific performer appearing or performing in it.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eb6cd481908acd5619b3af246d |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:13 p.m.