Triple
T17976442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunnel Vision |
E449486
|
entity |
| Predicate | featuresMusicVideoNudity |
P129966
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tunnel Vision, featuresMusicVideoNudity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMusicVideoNudity Context triple: [Tunnel Vision, featuresMusicVideoNudity, true]
-
A.
musicVideoFeatures
Indicates that a music video includes or prominently showcases a particular person, group, or element.
-
B.
musicVideoCameo
Indicates that one entity makes a brief or special-appearance role in the other entity’s music video.
-
C.
musicVideoFor
Indicates that one entity is a music video created to accompany, represent, or promote another entity, typically a song or musical work.
-
D.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.