Triple
T14552565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Between Dreams |
E341453
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Sleep Through the Static |
E341454
|
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: Sleep Through the Static | Statement: [In Between Dreams, followedBy, Sleep Through the Static]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sleep Through the Static Context triple: [In Between Dreams, followedBy, Sleep Through the Static]
-
A.
Sleep Through the Static
chosen
Sleep Through the Static is a mellow, acoustic-driven studio album by singer-songwriter Jack Johnson that blends laid-back surf rock with introspective, environmentally conscious themes.
-
B.
Never Sleep
Never Sleep is a work by the artist Nav, likely recognized as one of his notable musical releases.
-
C.
No Sleeep
"No Sleeep" is a sultry, mid-tempo R&B single by Janet Jackson, released in 2015 as the lead track from her album "Unbreakable."
-
D.
Sleep on It
"Sleep on It" is a song by American R&B singer Chaka Khan.
-
E.
Black Radio
Black Radio is a Grammy-winning album by jazz pianist and producer Robert Glasper that blends jazz, hip-hop, R&B, and neo-soul with an array of guest vocalists.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.