Triple
T21010545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot & Wet |
E517535
|
entity |
| Predicate | hasTitleTrack |
P3284
|
FINISHED |
| Object | Hot & Wet |
—
|
NE NERFINISHED |
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: Hot & Wet | Statement: [Hot & Wet, hasTitleTrack, Hot & Wet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot & Wet Context triple: [Hot & Wet, hasTitleTrack, Hot & Wet]
-
A.
Hot & Wet
chosen
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
-
B.
Hotter than July
Hotter than July is a 1980 Stevie Wonder studio album blending R&B, soul, and reggae influences, best known for songs like "Master Blaster (Jammin')" and "Happy Birthday."
-
C.
Hot and Dirty
"Hot and Dirty" is a song by the band HSAS, a short-lived hard rock supergroup featuring guitarist Neal Schon and vocalist Sammy Hagar.
-
D.
Hot Hot Hot
"Hot Hot Hot" is a song best known as the B-side to the English post-punk band The Cure’s single "The Walk."
-
E.
That Heat
"That Heat" is a Latin-infused hip hop track by Common featuring will.i.am and Sérgio Mendes, known for its smooth groove and blend of rap with Brazilian rhythms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.