Triple
T10008502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep Well Beast |
E198310
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dark Side of the Gym |
E834694
|
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: Dark Side of the Gym | Statement: [Sleep Well Beast, hasPart, Dark Side of the Gym]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Side of the Gym Context triple: [Sleep Well Beast, hasPart, Dark Side of the Gym]
-
A.
Dark Side of the Gym
chosen
"Dark Side of the Gym" is a moody, atmospheric indie rock song by The National from their album *Sleep Well Beast*.
-
B.
Get Bigger
"Get Bigger" is a soulful, funk-infused R&B track by NxWorries (Anderson .Paak and Knxwledge) that showcases their laid-back grooves and introspective lyricism.
-
C.
This Ain't a Game
"This Ain't a Game" is the second studio album by American R&B singer Ray J, showcasing his early-2000s blend of contemporary R&B and hip hop.
-
D.
The Grind
"The Grind" is a song by Erykah Badu from her neo-soul/hip-hop-influenced album *Worldwide Underground*.
-
E.
Bigger & Blacker
Bigger & Blacker is a 1999 stand-up comedy special and album by Chris Rock known for its sharp social commentary and provocative humor.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd38659c8190830d223edbfd74ec |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28209678c8190898d923753bb4472 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:52 p.m.