Triple
T14517596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G-Eazy |
E340562
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Calm Down
"Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
|
E1103151
|
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: Calm Down | Statement: [G-Eazy, notableSong, Calm Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calm Down Context triple: [G-Eazy, notableSong, Calm Down]
-
A.
Calm Down
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
B.
You Need to Calm Down
"You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
-
C.
"Simmer Down"
"Simmer Down" is an early ska single by The Wailers that became a major hit in Jamaica and helped establish both the group and the Studio One label in the 1960s.
-
D.
Keep It Down
"Keep It Down" is a song by the American rock band Tasty, known for its energetic style and catchy, guitar-driven sound.
-
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: Calm Down Triple: [G-Eazy, notableSong, Calm Down]
Generated description
"Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calm Down Target entity description: "Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
-
A.
Calm Down
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
B.
You Need to Calm Down
"You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
-
C.
"Simmer Down"
"Simmer Down" is an early ska single by The Wailers that became a major hit in Jamaica and helped establish both the group and the Studio One label in the 1960s.
-
D.
Keep It Down
"Keep It Down" is a song by the American rock band Tasty, known for its energetic style and catchy, guitar-driven sound.
-
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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6f50208190b687b505f5cd1aa2 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da80dc88190afa96760efb0c7de |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f24431c81908a25ad81c28da56d |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6ff5a58881909987fa653e58a197 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:22 a.m.