Triple
T8988511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Based on a T.R.U. Story |
E214729
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Southside |
E512828
|
NE FINISHED |
How this triple was built (2 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: Southside | Statement: [Based on a T.R.U. Story, producer, Southside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southside Context triple: [Based on a T.R.U. Story, producer, Southside]
-
A.
Southside
Southside is a shopping and leisure centre located on Victoria Street in central London.
-
B.
Southside
"Southside" is a 2020 country-pop album by American singer-songwriter Sam Hunt, featuring hits like "Kinfolks" and "Hard to Forget."
-
C.
Southside
"Southside" is a hip-hop track by Common featuring Kanye West, known for its soulful production and reflective lyrics.
-
D.
Southside
Southside is a central district in Birmingham, England, known for its entertainment venues, nightlife, and the city’s Chinese Quarter and Gay Village.
-
E.
Southside
chosen
Southside is an American record producer and rapper best known for his hard-hitting trap beats and work with artists like Future, Waka Flocka Flame, and Gucci Mane.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67f0fed8819098ef3c88f9ef8045 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c155cc819087f1060454da38e5 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:04 p.m.