Triple
T20118441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnet |
E490530
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Quiet & Still
"Quiet & Still" is a notable release by the American post-hardcore band Magnet, showcasing their atmospheric and emotionally driven sound.
|
E1411119
|
NE FINISHED |
How this triple was built (4 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: Quiet & Still | Statement: [Magnet, notableWork, Quiet & Still]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quiet & Still Context triple: [Magnet, notableWork, Quiet & Still]
-
A.
Be Still
"Be Still" is a song by the American alternative rock band The Neighbourhood, known for its moody, atmospheric sound and introspective lyrics.
-
B.
Be Still
"Be Still" is a song by the American rock band Friends.
-
C.
Be Still
"Be Still" is a somber, piano-driven ballad by Linkin Park from their 2007 album *Minutes to Midnight*, known for its introspective lyrics and minimalist arrangement.
-
D.
Be Still
"Be Still" is a song by Big Boi from his debut solo album "Sir Lucious Left Foot: The Son of Chico Dusty."
-
E.
Cool’n’Quiet
Cool’n’Quiet is an AMD power-saving and noise-reduction technology that dynamically adjusts a processor’s clock speed and voltage to reduce heat and fan noise during low-demand operation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quiet & Still Triple: [Magnet, notableWork, Quiet & Still]
Generated description
"Quiet & Still" is a notable release by the American post-hardcore band Magnet, showcasing their atmospheric and emotionally driven sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quiet & Still Target entity description: "Quiet & Still" is a notable release by the American post-hardcore band Magnet, showcasing their atmospheric and emotionally driven sound.
-
A.
Be Still
"Be Still" is a song by the American alternative rock band The Neighbourhood, known for its moody, atmospheric sound and introspective lyrics.
-
B.
Be Still
"Be Still" is a song by the American rock band Friends.
-
C.
Be Still
"Be Still" is a somber, piano-driven ballad by Linkin Park from their 2007 album *Minutes to Midnight*, known for its introspective lyrics and minimalist arrangement.
-
D.
Be Still
"Be Still" is a song by Big Boi from his debut solo album "Sir Lucious Left Foot: The Son of Chico Dusty."
-
E.
Cool’n’Quiet
Cool’n’Quiet is an AMD power-saving and noise-reduction technology that dynamically adjusts a processor’s clock speed and voltage to reduce heat and fan noise during low-demand operation.
- F. None of above. chosen
Provenance (5 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08271de03c81908f669f712ca1233a |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a08280f9e70819091682323b55ca855 |
completed | May 16, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 11, 2026, 11:30 p.m.