Triple
T10942971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Askey |
E258520
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Kaya Faison |
E905354
|
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: Kaya Faison | Statement: [Lisa Askey, relative, Kaya Faison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaya Faison Context triple: [Lisa Askey, relative, Kaya Faison]
-
A.
Kaya Faison
chosen
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
-
B.
Sarah Chalke
Sarah Chalke is a Canadian actress best known for her roles as Dr. Elliot Reid on the sitcom "Scrubs" and Becky Conner on "Roseanne."
-
C.
Kaitlin Olson
Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
-
D.
Candice Accola
Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
-
E.
Caity Lotz
Caity Lotz is an American actress, dancer, and director best known for her role as Sara Lance/White Canary in the Arrowverse television series, particularly DC's Legends of Tomorrow.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c3fb388190a598f89ae59a7b51 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4418e52f8819096c75e6e866fecef |
completed | April 19, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:23 p.m.