Triple
T10597862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teen Mom 2 |
E275663
|
entity |
| Predicate | featuresCastMember |
P7010
|
FINISHED |
| Object |
Kailyn Lowry
Kailyn Lowry is an American reality television personality and author best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
|
E887127
|
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: Kailyn Lowry | Statement: [Teen Mom 2, featuresCastMember, Kailyn Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kailyn Lowry Context triple: [Teen Mom 2, featuresCastMember, Kailyn Lowry]
-
A.
Caitlin Lowe
Caitlin Lowe is a former All-American outfielder and Olympic medalist who became the head coach of the University of Arizona Wildcats softball program.
-
B.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
C.
Katie Cassidy
Katie Cassidy is an American actress best known for her role as Laurel Lance/Black Canary in the television series "Arrow."
-
D.
Lauren Lloyd
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
-
E.
Courtney Lemmon
Courtney Lemmon is the daughter of acclaimed American actor Jack Lemmon and is known for her work as a jazz and blues singer.
- 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: Kailyn Lowry Triple: [Teen Mom 2, featuresCastMember, Kailyn Lowry]
Generated description
Kailyn Lowry is an American reality television personality and author best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kailyn Lowry Target entity description: Kailyn Lowry is an American reality television personality and author best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
-
A.
Caitlin Lowe
Caitlin Lowe is a former All-American outfielder and Olympic medalist who became the head coach of the University of Arizona Wildcats softball program.
-
B.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
C.
Katie Cassidy
Katie Cassidy is an American actress best known for her role as Laurel Lance/Black Canary in the television series "Arrow."
-
D.
Lauren Lloyd
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
-
E.
Courtney Lemmon
Courtney Lemmon is the daughter of acclaimed American actor Jack Lemmon and is known for her work as a jazz and blues singer.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded358248190ba9268a51b2805fc |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de843dfe708190a14dc54be56b112d |
completed | April 14, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 7:28 p.m.