Triple
T13724458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starships |
E329116
|
entity |
| Predicate | followsSingle |
P9710
|
FINISHED |
| Object | Turn Me On |
E199034
|
NE FINISHED |
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: Turn Me On | Statement: [Starships, followsSingle, Turn Me On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turn Me On Context triple: [Starships, followsSingle, Turn Me On]
-
A.
Turn Me On
chosen
"Turn Me On" is a popular electro house and dance-pop song by French DJ and producer David Guetta featuring vocals from Nicki Minaj.
-
B.
Turn Me On
"Turn Me On" is a popular electronic dance music track by French DJ and producer Michael Calfan, known for its uplifting house style and catchy melodic hooks.
-
C.
Turns Me On
"Turns Me On" is a funk-infused hip hop track by Big Boi that showcases his playful lyricism and eclectic production style.
-
D.
Turnin Me On
"Turnin Me On" is a hit R&B single by American singer Keri Hilson, known for its sultry vibe and collaboration with rapper Lil Wayne.
-
E.
Turn It On
"Turn It On" is a country-rock album by Kevin Costner & Modern West that showcases the actor's musical pursuits with a blend of storytelling lyrics and Americana-influenced sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.