Triple
T18505203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe & Stop (music video) |
E452180
|
entity |
| Predicate | associatedAlbum |
P1995
|
FINISHED |
| Object | Amplified |
—
|
NE NERFINISHED |
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: Amplified | Statement: [Breathe & Stop (music video), associatedAlbum, Amplified]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amplified Context triple: [Breathe & Stop (music video), associatedAlbum, Amplified]
-
A.
Amplified
Amplified is the 1999 debut solo studio album by American rapper and producer Q-Tip, known for its smooth, jazz-influenced production and introspective lyricism.
-
B.
Amplified
chosen
Amplified is a book by Jonathan William Davis, likely a work of Christian theology or biblical studies reflecting his scholarly focus.
-
C.
Amplify
Amplify is an independent film distribution company known for releasing arthouse and specialty films.
-
D.
Elevate
Elevate was Virgin America's frequent-flyer loyalty program, allowing passengers to earn and redeem points for flights and related travel benefits.
-
E.
Loud
Loud is a musical artist known for creating complex, intricate works that reflect a sophisticated and layered artistic style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341b6c48190b7da42f5df923e81 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.