Triple
T13777105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Mitchell |
E331036
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Slow Jamz |
E65290
|
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: Slow Jamz | Statement: [Carl Mitchell, notableWork, Slow Jamz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Jamz Context triple: [Carl Mitchell, notableWork, Slow Jamz]
-
A.
Slow Jamz
chosen
"Slow Jamz" is a popular R&B/hip-hop song by Kanye West featuring Twista and Jamie Foxx that blends soulful production with rapid-fire verses and smooth, melodic vocals.
-
B.
Slow Jam
"Slow Jam" is a smooth, romantic R&B track best known from Usher's 1997 album "My Way," showcasing his early vocal style and sensual slow-jam sound.
-
C.
Slow Jams
"Slow Jams" is an R&B slow jam track featured on Quincy Jones's album "Q's Jook Joint."
-
D.
Jamz
Jamz is a studio album by Ghanaian rapper Sarkodie that blends Afrobeats and hip-hop influences and features collaborations with several prominent African artists.
-
E.
Namba Hips
Namba Hips is a distinctive commercial and entertainment complex in Osaka’s Namba district, known for its striking curved façade and shopping, dining, and leisure facilities.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86c9ff88190a2e4f6aa907f2eba |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.