Triple
T11697756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teen Mom 3 |
E278040
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Briana DeJesus |
E876965
|
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: Briana DeJesus | Statement: [Teen Mom 3, featuresCharacter, Briana DeJesus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briana DeJesus Context triple: [Teen Mom 3, featuresCharacter, Briana DeJesus]
-
A.
Briana DeJesus
chosen
Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
-
B.
Amanda Pacheco
Amanda Pacheco is an American model and divemaster who has gained public attention through her relationship with actor Wilmer Valderrama.
-
C.
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.
-
D.
Briana Shann
Briana Shann is an English actress best known for her role as Katie in Ken Loach’s acclaimed social-realist film "I, Daniel Blake."
-
E.
Brittany Gonzales
Brittany Gonzales is an American TV host and model best known as the wife of actor Kellan Lutz.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47df68c81908a91919a69b4880d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a027dec8190aea103f0974186b0 |
completed | May 1, 2026, 11:09 a.m. |
Created at: April 8, 2026, 9:40 p.m.