Triple
T4245938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot in Herre |
E95527
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Nellyville |
E97506
|
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: Nellyville | Statement: [Hot in Herre, album, Nellyville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nellyville Context triple: [Hot in Herre, album, Nellyville]
-
A.
Nellyville
chosen
Nellyville is the multi-platinum 2002 hip-hop album by rapper Nelly, featuring major hits like "Hot in Herre" and "Dilemma."
-
B.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
C.
Nashville Noise
Nashville Noise was a professional women's basketball team that competed in the American Basketball League in the late 1990s.
-
D.
Hillbilly Deluxe
"Hillbilly Deluxe" is a 1987 country music album by Dwight Yoakam that helped solidify his reputation for blending traditional honky-tonk with a modern, Bakersfield-influenced sound.
-
E.
Nelly
Nelly is an American rapper, singer, and songwriter known for early-2000s hits like "Hot in Herre" and "Dilemma."
- 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_69b34e8db5bc8190873c5ae3753aaa58 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b77ce4d48190ba24e3ef8c9ceb8d |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.