Triple
T3138192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Mars |
E65582
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | 24K Magic |
E329493
|
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: 24K Magic | Statement: [Bruno Mars, notableAlbum, 24K Magic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 24K Magic Context triple: [Bruno Mars, notableAlbum, 24K Magic]
-
A.
24K Magic
chosen
24K Magic is a funk- and R&B-infused studio album by Bruno Mars known for its retro sound and hit singles like "24K Magic" and "That's What I Like."
-
B.
Hotline Bling
"Hotline Bling" is a 2015 Drake hit single known for its minimalist production, viral music video, and widespread cultural impact.
-
C.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
D.
Wyldstyle
Wyldstyle is a rebellious and resourceful Master Builder who plays a leading role in The Lego Movie’s fight against conformity and tyranny.
-
E.
Can't Stop the Feeling!
"Can't Stop the Feeling!" is a 2016 upbeat pop song by Justin Timberlake, known for its feel-good dance vibe and association with the animated film Trolls.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224dcd1bc8190948b80c686d0e641 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.