Triple
T13107392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix Jaehn |
E310878
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Hot2Touch |
E1023428
|
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: Hot2Touch | Statement: [Felix Jaehn, notableSingle, Hot2Touch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot2Touch Context triple: [Felix Jaehn, notableSingle, Hot2Touch]
-
A.
Hot2Touch
chosen
"Hot2Touch" is a popular tropical house track by German DJ and producer Felix Jaehn, known for its upbeat, summery vibe and catchy vocal hooks.
-
B.
"Hot to the Touch"
"Hot to the Touch" is an episode of the animated television series Adventure Time that prominently features the Candy Kingdom setting.
-
C.
Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
-
D.
Termal
Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
-
E.
Heatscape
Heatscape is a contemporary ballet choreographed by Justin Peck, known for its dynamic movement and collaboration with visual artist Shepard Fairey.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadad81c8190881e6577e1c2a207 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:05 p.m.