Triple
T11345307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama 3 |
E268696
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
L.B. Dope
L.B. Dope is a musician best known as a member of the British band Alabama 3, which blends electronic music with blues, country, and gospel influences.
|
E920006
|
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: L.B. Dope | Statement: [Alabama 3, member, L.B. Dope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L.B. Dope Context triple: [Alabama 3, member, L.B. Dope]
-
A.
Kenny Dope
Kenny Dope is an influential American DJ and producer best known as one half of the house music duo Masters at Work and for his genre-spanning work in house, hip-hop, and Latin-influenced dance music.
-
B.
D-Dot
D-Dot is an American hip-hop producer and rapper best known as a member of Bad Boy Records' in-house production team The Hitmen.
-
C.
Schoolly D
Schoolly D is an American rapper and pioneer of gangsta rap from Philadelphia, known for his gritty, influential early recordings in the mid-1980s.
-
D.
Layzie Bone
Layzie Bone is an American rapper best known as a member of the Grammy-winning hip hop group Bone Thugs-n-Harmony.
-
E.
Juggy D
Juggy D is a British-Indian Punjabi singer known for his contributions to the UK bhangra and Asian underground music scenes.
- 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: L.B. Dope Triple: [Alabama 3, member, L.B. Dope]
Generated description
L.B. Dope is a musician best known as a member of the British band Alabama 3, which blends electronic music with blues, country, and gospel influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L.B. Dope Target entity description: L.B. Dope is a musician best known as a member of the British band Alabama 3, which blends electronic music with blues, country, and gospel influences.
-
A.
Kenny Dope
Kenny Dope is an influential American DJ and producer best known as one half of the house music duo Masters at Work and for his genre-spanning work in house, hip-hop, and Latin-influenced dance music.
-
B.
D-Dot
D-Dot is an American hip-hop producer and rapper best known as a member of Bad Boy Records' in-house production team The Hitmen.
-
C.
Schoolly D
Schoolly D is an American rapper and pioneer of gangsta rap from Philadelphia, known for his gritty, influential early recordings in the mid-1980s.
-
D.
Layzie Bone
Layzie Bone is an American rapper best known as a member of the Grammy-winning hip hop group Bone Thugs-n-Harmony.
-
E.
Juggy D
Juggy D is a British-Indian Punjabi singer known for his contributions to the UK bhangra and Asian underground music scenes.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5436e9d848190a7e585351d24df03 |
completed | April 19, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69e5474b77948190b2c45831871383e8 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.