Triple
T13793592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food & Liquor II: The Great American Rap Album Pt. 1 |
E331457
|
entity |
| Predicate | coverArtColor |
P53256
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [Food & Liquor II: The Great American Rap Album Pt. 1, coverArtColor, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverArtColor Context triple: [Food & Liquor II: The Great American Rap Album Pt. 1, coverArtColor, black]
-
A.
coverArtFeaturesColor
chosen
Indicates that the cover art includes or prominently displays a specific color as part of its visual design.
-
B.
coverArtForm
Indicates the artistic medium or format used for the cover artwork associated with an item.
-
C.
coverArtText
Indicates that the text element is part of, or associated with, the cover art of a work.
-
D.
coverArtDepicts
Indicates that the subject cover art visually represents, portrays, or includes the object within its imagery.
-
E.
coverArtUpdate
Indicates an action where the visual cover artwork associated with an item is changed or replaced with a new version.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.