Triple
T16207520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop Smoke |
E393365
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mood Swings
"Mood Swings" is a melodic drill-rap song by Pop Smoke featuring Lil Tjay that became one of his most popular tracks, known for its emotional lyrics and smooth, atmospheric production.
|
E1200098
|
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: Mood Swings | Statement: [Pop Smoke, notableWork, Mood Swings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mood Swings Context triple: [Pop Smoke, notableWork, Mood Swings]
-
A.
Mood
"Mood" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotionally charged style and confessional lyricism.
-
B.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
C.
Mood
Mood is an American hip hop group known for its underground, jazz-influenced sound and collaborations with producer Hi-Tek.
-
D.
Mood
Mood is a 2016 R&B mixtape by American singer Jacquees that showcases his smooth vocal style and romantic, melodic tracks.
-
E.
Moods
Moods is a 1972 studio album by American singer-songwriter Neil Diamond, known for featuring the hit single "Song Sung Blue."
- 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: Mood Swings Triple: [Pop Smoke, notableWork, Mood Swings]
Generated description
"Mood Swings" is a melodic drill-rap song by Pop Smoke featuring Lil Tjay that became one of his most popular tracks, known for its emotional lyrics and smooth, atmospheric production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mood Swings Target entity description: "Mood Swings" is a melodic drill-rap song by Pop Smoke featuring Lil Tjay that became one of his most popular tracks, known for its emotional lyrics and smooth, atmospheric production.
-
A.
Mood
"Mood" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotionally charged style and confessional lyricism.
-
B.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
C.
Mood
Mood is an American hip hop group known for its underground, jazz-influenced sound and collaborations with producer Hi-Tek.
-
D.
Mood
Mood is a 2016 R&B mixtape by American singer Jacquees that showcases his smooth vocal style and romantic, melodic tracks.
-
E.
Moods
Moods is a 1972 studio album by American singer-songwriter Neil Diamond, known for featuring the hit single "Song Sung Blue."
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007916d3481909d475f1661d80e77 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00083d7b54819089dbab566d55d638 |
completed | May 10, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008c7430c81908b9620369c609ad8 |
completed | May 10, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:03 a.m.