Triple
T21735454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excuse My French |
E536509
|
entity |
| Predicate | chronologyPrevious |
P22762
|
FINISHED |
| Object | Mac & Cheese 3 |
—
|
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: Mac & Cheese 3 | Statement: [Excuse My French, chronologyPrevious, Mac & Cheese 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mac & Cheese 3 Context triple: [Excuse My French, chronologyPrevious, Mac & Cheese 3]
-
A.
Mac & Cheese 3
chosen
Mac & Cheese 3 is a 2012 mixtape by rapper French Montana that helped boost his mainstream profile with numerous guest features and street-oriented tracks.
-
B.
Mac & Cheese 2
Mac & Cheese 2 is a popular mixtape by rapper French Montana (Karim Kharbouch), known for helping elevate his profile in the hip-hop scene.
-
C.
Mac & Cheese 4
Mac & Cheese 4 is a mixtape by French Montana that continues his Mac & Cheese series of street-oriented hip-hop releases.
-
D.
Cheese Land
Cheese Land is a Mario Kart Wii race track themed around a desert landscape filled with cheese-like terrain and obstacles.
-
E.
Stack That Cheese
"Stack That Cheese" is a track by rapper Lupe Fiasco featured on his concept album "Drogas Wave."
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.