Triple
T16675412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Kiss in the Dreamhouse |
E405203
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Melt! |
E1226652
|
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: Melt! | Statement: [A Kiss in the Dreamhouse, hasSingle, Melt!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melt! Context triple: [A Kiss in the Dreamhouse, hasSingle, Melt!]
-
A.
Melt!
chosen
"Melt!" is a song by English post-punk band Siouxsie and the Banshees, known for its dark, sensual atmosphere and richly textured production.
-
B.
Melted
Melted is a 2010 garage rock and psychedelic-leaning studio album by American musician Ty Segall.
-
C.
Melt Away
"Melt Away" is a track featured on the album "Daydream" by Mariah Carey.
-
D.
Melt Away
"Melt Away" is a melodic, introspective pop song by Brian Wilson from his 1988 self-titled solo album, showcasing his signature harmonies and reflective songwriting.
-
E.
Molten
Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.