Triple
T15408943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Miami 2 |
E368532
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Gold Roses
"Gold Roses" is a hip-hop song by Rick Ross featuring Drake, known for its reflective lyrics and smooth, atmospheric production.
|
E1154395
|
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: Gold Roses | Statement: [Port of Miami 2, hasPart, Gold Roses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gold Roses Context triple: [Port of Miami 2, hasPart, Gold Roses]
-
A.
Bouquet of Roses
"Bouquet of Roses" is a classic country music song popularized by American singer Eddy Arnold.
-
B.
Five Roses
Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
-
C.
Roses
"Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
-
D.
Roses
"Roses" is a popular 2003 hip hop and R&B single by André 3000 of OutKast, known for its sharp storytelling, theatrical production, and memorable music video.
-
E.
Roses
Roses is a coastal town on Spain’s Costa Brava, known for its Mediterranean beaches, historic citadel, and role as a popular tourist destination in Catalonia.
- 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: Gold Roses Triple: [Port of Miami 2, hasPart, Gold Roses]
Generated description
"Gold Roses" is a hip-hop song by Rick Ross featuring Drake, known for its reflective lyrics and smooth, atmospheric production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gold Roses Target entity description: "Gold Roses" is a hip-hop song by Rick Ross featuring Drake, known for its reflective lyrics and smooth, atmospheric production.
-
A.
Bouquet of Roses
"Bouquet of Roses" is a classic country music song popularized by American singer Eddy Arnold.
-
B.
Five Roses
Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
-
C.
Roses
"Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
-
D.
Roses
"Roses" is a popular 2003 hip hop and R&B single by André 3000 of OutKast, known for its sharp storytelling, theatrical production, and memorable music video.
-
E.
Roses
Roses is a coastal town on Spain’s Costa Brava, known for its Mediterranean beaches, historic citadel, and role as a popular tourist destination in Catalonia.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141babdc8190bac03e8a294984ce |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14d3e78881909692d5594bc941d8 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:20 a.m.