Triple
T4246584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Bottoms |
E95542
|
entity |
| Predicate | featuredInSong |
P626
|
FINISHED |
| Object | “Grillz” |
E97505
|
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: “Grillz” | Statement: [Apple Bottoms, featuredInSong, “Grillz”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Grillz” Context triple: [Apple Bottoms, featuredInSong, “Grillz”]
-
A.
Grillz
chosen
"Grillz" is a 2005 hip hop single by Nelly featuring Paul Wall, Ali & Gipp, known for popularizing jeweled dental grills in mainstream culture.
-
B.
Feed Tha Streets
Feed Tha Streets is a mixtape series by American rapper Roddy Ricch that helped establish his reputation in the hip-hop scene.
-
C.
Chingy
Chingy is an American rapper and actor best known for his early-2000s hit singles like "Right Thurr" and his association with the Disturbing tha Peace label.
-
D.
The Mad Rapper
The Mad Rapper is the satirical alter ego of hip-hop producer Deric "D-Dot" Angelettie, known from skits and appearances on late-1990s Bad Boy Records releases.
-
E.
Rapperholic
Rapperholic is a popular studio album by Ghanaian rapper Sarkodie that helped solidify his status as a leading figure in African hip hop.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87993648190b2969505cdf3c554 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:05 p.m.