Triple
T976392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father of All Motherfuckers |
E21061
|
entity |
| Predicate | hasCoverArtFeature |
P15270
|
FINISHED |
| Object | unicorn with rainbow vomit |
—
|
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: unicorn with rainbow vomit | Statement: [Father of All Motherfuckers, hasCoverArtFeature, unicorn with rainbow vomit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverArtFeature Context triple: [Father of All Motherfuckers, hasCoverArtFeature, unicorn with rainbow vomit]
-
A.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
B.
coverArtDepicts
chosen
Indicates that the subject cover art visually represents, portrays, or includes the object within its imagery.
-
C.
coverArtText
Indicates that the text element is part of, or associated with, the cover art of a work.
-
D.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
-
E.
hasFeaturedArtist
Indicates that an entity (such as a song or track) includes another artist who appears as a featured performer.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46344048190b7a13b8f3ad9f455 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a8a3b08190b4538e119b13f7f5 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:40 p.m.