Triple
T21874168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day69 |
E540086
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Gummo Remix |
—
|
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: Gummo Remix | Statement: [Day69, hasTrack, Gummo Remix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gummo Remix Context triple: [Day69, hasTrack, Gummo Remix]
-
A.
Gummo (Remix)
chosen
"Gummo (Remix)" is a reworked version of 6ix9ine’s breakout hit "Gummo," featured on his mixtape *Day69: Graduation Day* and known for its aggressive delivery and hard-hitting trap production.
-
B.
Gummo
Gummo is a 1997 experimental drama film directed by Harmony Korine, known for its disturbing, fragmented portrayal of life in a tornado-ravaged Ohio town.
-
C.
Gummo
Gummo is a breakout 2017 single by American rapper Tekashi 6ix9ine known for its aggressive style and viral success.
-
D.
Gitchy Goomy
Gitchy Goomy is a song by Neil Diamond, best known as the B-side to his hit single "Song Sung Blue."
-
E.
Mambo Mouth
Mambo Mouth is a one-man off-Broadway stage show by John Leguizamo in which he portrays multiple Latino characters in a fast-paced, comedic performance.
- 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.