Triple
T21873991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6ix9ine discography |
E540082
|
entity |
| Predicate | includesSingle |
P11236
|
FINISHED |
| Object | Gooba |
—
|
NE NERFINISHED |
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: Gooba | Statement: [6ix9ine discography, includesSingle, Gooba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gooba Context triple: [6ix9ine discography, includesSingle, Gooba]
-
A.
Gooba
chosen
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
-
B.
Goba
Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
-
C.
Gum
Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
-
D.
Gum
Gum is an astronomical catalog compiled by Australian astronomer Colin Stanley Gum that lists emission nebulae in the southern sky.
-
E.
Goober
Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f338757c81908005bfedb52b03cc |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.