Triple
T22379644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dua Lipa singles chronology |
E553236
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | “IDGAF” |
—
|
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: “IDGAF” | Statement: [Dua Lipa singles chronology, hasSingle, “IDGAF”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “IDGAF” Context triple: [Dua Lipa singles chronology, hasSingle, “IDGAF”]
-
A.
IDGAF
chosen
"IDGAF" is a breakup anthem by English singer Dua Lipa, known for its empowering lyrics and catchy pop production.
-
B.
I.D.G.A.F.O.S.
I.D.G.A.F.O.S. is a high-energy electronic dance track by American DJ and producer Dillon Francis that helped establish his signature moombahton-influenced style.
-
C.
I.D.
I.D. is a poetry collection by Philip Gross that explores themes of identity, memory, and the self with his characteristically reflective and nuanced style.
-
D.
IDK
IDK is an American rapper and producer known for his introspective lyrics, conceptual projects, and blending of trap, jazz, and alternative hip-hop influences.
-
E.
Stoopid
"Stoopid" is a high-energy hip hop track by rapper Tekashi 6ix9ine, known for its aggressive delivery and confrontational lyrics.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582afe6c819093940f9d817c64a8 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.