Triple
T10942956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Askey |
E258520
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Kaya Faison
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
|
E905354
|
NE FINISHED |
How this triple was built (4 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, hasChild, Kaya Faison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaya Faison Context triple: [Lisa Askey, hasChild, Kaya Faison]
-
A.
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."
-
B.
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."
-
C.
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."
-
D.
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.
-
E.
Megan Fairchild
Megan Fairchild is an acclaimed American ballet dancer and principal with New York City Ballet, known for her virtuosity in both classical and contemporary roles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaya Faison Triple: [Lisa Askey, hasChild, Kaya Faison]
Generated description
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaya Faison Target entity description: Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
-
A.
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."
-
B.
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."
-
C.
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."
-
D.
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.
-
E.
Megan Fairchild
Megan Fairchild is an acclaimed American ballet dancer and principal with New York City Ballet, known for her virtuosity in both classical and contemporary roles.
- F. None of above. chosen
Provenance (5 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_69e42d4f9518819091f7e02ad5f63ab3 |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42f3dd02c8190b40bc692c24b2ff4 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4375eaf448190a17f8df1e83145e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:23 p.m.