Triple
T19553651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trap Muzik |
E489253
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | I'm Serious |
—
|
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: I'm Serious | Statement: [Trap Muzik, follows, I'm Serious]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Serious Context triple: [Trap Muzik, follows, I'm Serious]
-
A.
So Serious
So Serious is a track by the British rock band Electric Light Orchestra, featured on their 1986 album Balance of Power.
-
B.
I'm Serious (song)
chosen
"I'm Serious" is a hip hop song by American rapper T.I., released as one of his early singles and showcasing his Southern rap style.
-
C.
“Let’s Get Serious”
“Let’s Get Serious” is a 1980 R&B hit single and album by Jermaine Jackson, produced and co-written by Stevie Wonder, that became one of Jackson’s most successful and recognizable works.
-
D.
I Really Mean It
"I Really Mean It" is a popular early-2000s hip-hop track by The Diplomats (Dipset), known for its triumphant production and emblematic role in defining the group's Harlem rap sound.
-
E.
I Mean It
"I Mean It" is a popular hip-hop single by American rapper G-Eazy, known for its confident lyrics and catchy, minimalist production.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.