Triple
T6960319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Roar |
E161351
|
entity |
| Predicate | debutAlbum |
P3278
|
FINISHED |
| Object | Low Roar (album) |
E161351
|
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: Low Roar (album) | Statement: [Low Roar, debutAlbum, Low Roar (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Low Roar (album) Context triple: [Low Roar, debutAlbum, Low Roar (album)]
-
A.
Low Roar
chosen
Low Roar was an Iceland-based ambient and post-rock music project by American musician Ryan Karazija, known for its atmospheric, melancholic soundscapes and prominent use in video game and film soundtracks.
-
B.
Slow and Low
"Slow and Low" is a hard-hitting, old-school hip hop track by the Beastie Boys, known for its heavy beats, shouted vocals, and party-centric lyrics.
-
C.
On the Low
"On the Low" is a popular Afro-fusion song by Nigerian artist Burna Boy, known for its smooth melody, romantic lyrics, and widespread international success.
-
D.
How Low
"How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
-
E.
The High End of Low
The High End of Low is a 2009 industrial rock album by Marilyn Manson known for its dark, introspective themes and return to a rawer, more personal sound.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daeee4d48190b078beeebb0053f4 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7618df8648190bec6c0aaca312efd |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:29 p.m.