Triple
T10553955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One on One |
E249025
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Kyla Pratt |
E445615
|
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: Kyla Pratt | Statement: [One on One, castMember, Kyla Pratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyla Pratt Context triple: [One on One, castMember, Kyla Pratt]
-
A.
Kyla Pratt
chosen
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.
-
B.
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.
-
C.
Kaitlyn Robrock
Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
-
D.
Kaitlyn Dunn
Kaitlyn Dunn is a person notable enough to be specifically referenced as a bearer of the surname Dunn.
-
E.
Kyla-Rose Smith
Kyla-Rose Smith is a South African musician and violinist best known as a member of the Afro-fusion band Freshlyground.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1658e03a8819098ea2ac2f818a61a |
completed | April 29, 2026, 1:57 a.m. |
Created at: April 6, 2026, 12:34 p.m.