Triple
T16304188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Songs 4 the Streets 2 |
E395864
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Extravagant
"Extravagant" is a romantic hip-hop track by Lil Durk featuring Nicki Minaj from his album *Love Songs 4 the Streets 2*.
|
E1206265
|
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: Extravagant | Statement: [Love Songs 4 the Streets 2, hasTrack, Extravagant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extravagant Context triple: [Love Songs 4 the Streets 2, hasTrack, Extravagant]
-
A.
Lavish
"Lavish" is a song featured on the soundtrack of the post-apocalyptic television film *The Day After*.
-
B.
Luxurious
"Luxurious" is a hip hop- and R&B-influenced single by Gwen Stefani that samples The Isley Brothers' "Between the Sheets" and explores themes of opulence and romantic indulgence.
-
C.
Opulence
Opulence is a 2014 EP by American rapper and performance artist Brooke Candy that showcases her aggressive, sex-positive style and avant-pop/rap sound.
-
D.
Luxury
"Luxury" is a song by American singer-songwriter and producer Jon Bellion, known for its blend of pop, hip-hop, and electronic influences with introspective lyrics.
-
E.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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: Extravagant Triple: [Love Songs 4 the Streets 2, hasTrack, Extravagant]
Generated description
"Extravagant" is a romantic hip-hop track by Lil Durk featuring Nicki Minaj from his album *Love Songs 4 the Streets 2*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Extravagant Target entity description: "Extravagant" is a romantic hip-hop track by Lil Durk featuring Nicki Minaj from his album *Love Songs 4 the Streets 2*.
-
A.
Lavish
"Lavish" is a song featured on the soundtrack of the post-apocalyptic television film *The Day After*.
-
B.
Luxurious
"Luxurious" is a hip hop- and R&B-influenced single by Gwen Stefani that samples The Isley Brothers' "Between the Sheets" and explores themes of opulence and romantic indulgence.
-
C.
Opulence
Opulence is a 2014 EP by American rapper and performance artist Brooke Candy that showcases her aggressive, sex-positive style and avant-pop/rap sound.
-
D.
Luxury
"Luxury" is a song by American singer-songwriter and producer Jon Bellion, known for its blend of pop, hip-hop, and electronic influences with introspective lyrics.
-
E.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d42f1c81908a6869244d727e99 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa16e3c81908a92225b5b57d711 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a00219696dc8190bcce66c1eeb07561 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.