Triple
T16166061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roses (music video) |
E392304
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Roses (song) |
E826921
|
NE 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: Roses (song) | Statement: [Roses (music video), basedOn, Roses (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roses (song) Context triple: [Roses (music video), basedOn, Roses (song)]
-
A.
Roses
"Roses" is a celebrated painting by American Impressionist Julian Alden Weir, known for its delicate depiction of flowers and subtle use of light and color.
-
B.
Roses
"Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
-
C.
Roses
"Roses" is a popular 2003 hip hop and R&B single by André 3000 of OutKast, known for its sharp storytelling, theatrical production, and memorable music video.
-
D.
Roses
Roses is a coastal town on Spain’s Costa Brava, known for its Mediterranean beaches, historic citadel, and role as a popular tourist destination in Catalonia.
-
E.
Roses
chosen
"Roses" is a breakout hip-hop/R&B single by Saint Jhn that gained widespread popularity, especially after a viral remix and extensive use on social media platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb2a25c819095437b25e6ab83f3 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b96bf08190b23bd3b705a34c61 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.