Triple
T3319067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Kelly |
E69748
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
R. (album)
R. (album) is a 1998 double studio album by American R&B singer R. Kelly that blends soulful ballads with hip hop-influenced tracks and includes several of his major hits.
|
E345985
|
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: R. (album) | Statement: [R. Kelly, notableWork, R. (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. (album) Context triple: [R. Kelly, notableWork, R. (album)]
-
A.
Raus
Raus is a German-language surname most notably associated with Erhard Raus, a high-ranking Wehrmacht general during World War II.
-
B.
Rapsodi
Rapsodi is the debut studio album by Nigerian rapper Olamide, which helped launch him into mainstream recognition in the Afrobeats and hip-hop scene.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
- 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: R. (album) Triple: [R. Kelly, notableWork, R. (album)]
Generated description
R. (album) is a 1998 double studio album by American R&B singer R. Kelly that blends soulful ballads with hip hop-influenced tracks and includes several of his major hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R. (album) Target entity description: R. (album) is a 1998 double studio album by American R&B singer R. Kelly that blends soulful ballads with hip hop-influenced tracks and includes several of his major hits.
-
A.
Raus
Raus is a German-language surname most notably associated with Erhard Raus, a high-ranking Wehrmacht general during World War II.
-
B.
Rapsodi
Rapsodi is the debut studio album by Nigerian rapper Olamide, which helped launch him into mainstream recognition in the Afrobeats and hip-hop scene.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1151f3c8190911af4edac701116 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f40055a48190afe401a488d3ae34 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa0f9c348190a1d48003b96761a9 |
completed | March 12, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3094548788190aac61165a982e5e9 |
completed | March 12, 2026, 6:43 p.m. |
Created at: March 8, 2026, 3:11 p.m.