Triple
T11697757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teen Mom 3 |
E278040
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Alex Sekella
Alex Sekella is a reality television personality best known for appearing as one of the young mothers on MTV's Teen Mom 3.
|
E939648
|
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: Alex Sekella | Statement: [Teen Mom 3, featuresCharacter, Alex Sekella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Sekella Context triple: [Teen Mom 3, featuresCharacter, Alex Sekella]
-
A.
Kevin Sekniqi
Kevin Sekniqi is a computer scientist and entrepreneur best known as a co-founder of Ava Labs, the company behind the Avalanche blockchain platform.
-
B.
John Sikela
John Sikela was a Golden Age comic book artist best known for his work on early Superman stories for DC Comics.
-
C.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
-
D.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
E.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
- 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: Alex Sekella Triple: [Teen Mom 3, featuresCharacter, Alex Sekella]
Generated description
Alex Sekella is a reality television personality best known for appearing as one of the young mothers on MTV's Teen Mom 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Sekella Target entity description: Alex Sekella is a reality television personality best known for appearing as one of the young mothers on MTV's Teen Mom 3.
-
A.
Kevin Sekniqi
Kevin Sekniqi is a computer scientist and entrepreneur best known as a co-founder of Ava Labs, the company behind the Avalanche blockchain platform.
-
B.
John Sikela
John Sikela was a Golden Age comic book artist best known for his work on early Superman stories for DC Comics.
-
C.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
-
D.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
E.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
- 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_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_69ef147e2e10819085eaed83fd955b6b |
completed | April 27, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_69ef3553a1748190b554463bcea8bd1d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51fe3824819099f440426d3e6888 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.