Triple
T13854771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future User |
E333033
|
entity |
| Predicate | usesMusicVideo |
P111777
|
FINISHED |
| Object | political commentary |
—
|
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: political commentary | Statement: [Future User, usesMusicVideo, political commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMusicVideo Context triple: [Future User, usesMusicVideo, political commentary]
-
A.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
B.
musicVideoCameo
Indicates that one entity makes a brief or special-appearance role in the other entity’s music video.
-
C.
musicVideoFrom
Indicates that a music video originates from, is derived from, or is associated with a particular source work or entity.
-
D.
musicVideoFor
Indicates that one entity is a music video created to accompany, represent, or promote another entity, typically a song or musical work.
-
E.
musicVideoTone
Indicates the prevailing emotional or stylistic mood conveyed by a music video.
- F. None of above. chosen
Provenance (4 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.