Triple
T27858746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I hate you so much right now! |
E704156
|
entity |
| Predicate | associatedWithMusicVideo |
P3287
|
FINISHED |
| Object | Caught Out There music video |
—
|
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: Caught Out There music video | Statement: [I hate you so much right now!, associatedWithMusicVideo, Caught Out There music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMusicVideo Context triple: [I hate you so much right now!, associatedWithMusicVideo, Caught Out There music video]
-
A.
usesMusicVideo
Indicates that one entity incorporates or features another entity as a music video.
-
B.
hasMusicVideoPerformer
Indicates that a music video features a specific performer appearing or performing in it.
-
C.
hasMusicVideo
chosen
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
D.
hasMusicVideoCharacteristic
Indicates that a music video possesses a specific attribute, feature, or quality.
-
E.
musicVideoCameo
Indicates that one entity makes a brief or special-appearance role in the other entity’s music video.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: April 27, 2026, 6:16 p.m.