Triple
T2713645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonebwoy |
E59916
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Tuff Seed
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
|
E293726
|
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: Tuff Seed | Statement: [Stonebwoy, notableSong, Tuff Seed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuff Seed Context triple: [Stonebwoy, notableSong, Tuff Seed]
-
A.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
Weeds
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
-
C.
Weeds
Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
-
D.
Tiges
Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
-
E.
The Seed (2.0)
"The Seed (2.0)" is a song by American hip hop band The Roots that blends rap, rock, and soul elements and is widely recognized as one of their signature tracks.
- 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: Tuff Seed Triple: [Stonebwoy, notableSong, Tuff Seed]
Generated description
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuff Seed Target entity description: "Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
-
A.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
Weeds
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
-
C.
Weeds
Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
-
D.
Tiges
Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
-
E.
The Seed (2.0)
"The Seed (2.0)" is a song by American hip hop band The Roots that blends rap, rock, and soul elements and is widely recognized as one of their signature tracks.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb687f6a081909ab1ba98a6ecc60f |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb7c0ac9c819088939e2a20e74c24 |
completed | March 10, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb84d36488190b49b05f2d5398627 |
completed | March 10, 2026, 6:21 a.m. |
Created at: March 6, 2026, 9:55 p.m.