Triple
T22905703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kid LAROI |
E568436
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | F*ck Love |
—
|
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: F*ck Love | Statement: [The Kid LAROI, notableWork, F*ck Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F*ck Love Context triple: [The Kid LAROI, notableWork, F*ck Love]
-
A.
Fuck Love
chosen
"Fuck Love" is a melancholic, emotionally raw track by rapper XXXTentacion that explores heartbreak and vulnerability over a moody, melodic beat.
-
B.
I Love You So F***ing Much
"I Love You So F***ing Much" is a song by British singer-songwriter Edmund Irwin-Singer, known for its emotionally charged lyrics and intimate, indie-pop sound.
-
C.
I Love You So F***ing Much
"I Love You So F***ing Much" is a musical work by artist Drew MacFarlane, known for its emotionally charged, atmospheric indie sound.
-
D.
Love Sux
Love Sux is a pop-punk studio album by Canadian singer-songwriter Avril Lavigne, noted for its high-energy return to her early 2000s sound.
-
E.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.