Triple
T21825593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me to the Dance |
E538843
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Kyla-Rose Smith |
—
|
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: Kyla-Rose Smith | Statement: [Take Me to the Dance, hasContributor, Kyla-Rose Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyla-Rose Smith Context triple: [Take Me to the Dance, hasContributor, Kyla-Rose Smith]
-
A.
Kyla-Rose Smith
chosen
Kyla-Rose Smith is a South African musician and violinist best known as a member of the Afro-fusion band Freshlyground.
-
B.
Kyla Smith
Kyla Smith is a songwriter best known for co-writing Drake’s hit single “One Dance.”
-
C.
Kyla Ross
Kyla Ross is an American artistic gymnast, Olympic gold medalist, and multiple-time NCAA champion who became one of the most decorated athletes in collegiate gymnastics history.
-
D.
Kiley Liddell
Kiley Liddell is an actress best known for playing the character Ellie Winston.
-
E.
Kyla Pratt
Kyla Pratt is an American actress best known for her roles in family films and television series, including the Dr. Dolittle franchise and the animated show The Proud Family.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f09131a5588190a906f70dd9e7f0b1 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.