Triple
T13322083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dem Franchize Boyz |
E317338
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bohagon
Bohagon is an American rapper best known for his association with the Atlanta snap music scene and his work with Dem Franchize Boyz.
|
E1034303
|
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: Bohagon | Statement: [Dem Franchize Boyz, hasMember, Bohagon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bohagon Context triple: [Dem Franchize Boyz, hasMember, Bohagon]
-
A.
Gauḍa
Gauḍa is a historical region and cultural-geographical area in eastern India, traditionally associated with parts of present-day West Bengal and Bangladesh.
-
B.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
C.
Varendra
Varendra is a historic region in northwestern Bengal, now largely in Bangladesh, known as an early political and cultural center of medieval Bengali kingdoms.
-
D.
Darbhanga
Darbhanga is a major city in the Indian state of Bihar, known as a cultural and educational center of the Mithila region.
-
E.
Bhangar
Bhangar is a town in the South 24 Parganas district of West Bengal, India, known for its semi-urban character and proximity to Kolkata.
- 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: Bohagon Triple: [Dem Franchize Boyz, hasMember, Bohagon]
Generated description
Bohagon is an American rapper best known for his association with the Atlanta snap music scene and his work with Dem Franchize Boyz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bohagon Target entity description: Bohagon is an American rapper best known for his association with the Atlanta snap music scene and his work with Dem Franchize Boyz.
-
A.
Gauḍa
Gauḍa is a historical region and cultural-geographical area in eastern India, traditionally associated with parts of present-day West Bengal and Bangladesh.
-
B.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
C.
Varendra
Varendra is a historic region in northwestern Bengal, now largely in Bangladesh, known as an early political and cultural center of medieval Bengali kingdoms.
-
D.
Darbhanga
Darbhanga is a major city in the Indian state of Bihar, known as a cultural and educational center of the Mithila region.
-
E.
Bhangar
Bhangar is a town in the South 24 Parganas district of West Bengal, India, known for its semi-urban character and proximity to Kolkata.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992ab83c8190982d9f54dff6919f |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2a8ba88190a59bc4840ec8ad13 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f71fe2c128819096cc31c9cbb739b5 |
completed | May 3, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7208d47388190b1b51f346b0d1423 |
completed | May 3, 2026, 10:16 a.m. |
Created at: April 9, 2026, 9:30 p.m.