Triple
T10597864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teen Mom 2 |
E275663
|
entity |
| Predicate | featuresCastMember |
P7010
|
FINISHED |
| Object |
Briana DeJesus
Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
|
E876965
|
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: Briana DeJesus | Statement: [Teen Mom 2, featuresCastMember, Briana DeJesus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briana DeJesus Context triple: [Teen Mom 2, featuresCastMember, Briana DeJesus]
-
A.
Amanda Pacheco
Amanda Pacheco is an American model and divemaster who has gained public attention through her relationship with actor Wilmer Valderrama.
-
B.
Jessica Sula
Jessica Sula is a Welsh actress best known for her roles in the British teen drama "Skins" and various American film and television projects.
-
C.
Brittany Gonzales
Brittany Gonzales is an American TV host and model best known as the wife of actor Kellan Lutz.
-
D.
Brianna Baker
Brianna Baker is an American actress best known for her role as paramedic Nancy Gillian on the television drama series "9-1-1: Lone Star."
-
E.
Brianna Hanson
Brianna Hanson is a sharp-tongued, ambitious businesswoman and the acerbic daughter of Grace in the television series "Grace and Frankie."
- 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: Briana DeJesus Triple: [Teen Mom 2, featuresCastMember, Briana DeJesus]
Generated description
Briana DeJesus is a reality television personality 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: Briana DeJesus Target entity description: Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
-
A.
Amanda Pacheco
Amanda Pacheco is an American model and divemaster who has gained public attention through her relationship with actor Wilmer Valderrama.
-
B.
Jessica Sula
Jessica Sula is a Welsh actress best known for her roles in the British teen drama "Skins" and various American film and television projects.
-
C.
Brittany Gonzales
Brittany Gonzales is an American TV host and model best known as the wife of actor Kellan Lutz.
-
D.
Brianna Baker
Brianna Baker is an American actress best known for her role as paramedic Nancy Gillian on the television drama series "9-1-1: Lone Star."
-
E.
Brianna Hanson
Brianna Hanson is a sharp-tongued, ambitious businesswoman and the acerbic daughter of Grace in the television series "Grace and Frankie."
- 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_69d97a23e24881909afb009baa0ef662 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 7:28 p.m.