Triple
T2521361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 16 and Pregnant |
E55529
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
|
E386554
|
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: Lauren Dolgen | Statement: [16 and Pregnant, creator, Lauren Dolgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Dolgen Context triple: [16 and Pregnant, creator, Lauren Dolgen]
-
A.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
B.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
C.
Molly Ziegler
Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
-
D.
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.
-
E.
Lindsey Weber
Lindsey Weber is a film and television producer known for her work on major genre projects including the science-fiction blockbuster "Star Trek Beyond."
- 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: Lauren Dolgen Triple: [16 and Pregnant, creator, Lauren Dolgen]
Generated description
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Dolgen Target entity description: Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
A.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
B.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
C.
Molly Ziegler
Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
-
D.
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.
-
E.
Lindsey Weber
Lindsey Weber is a film and television producer known for her work on major genre projects including the science-fiction blockbuster "Star Trek Beyond."
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2367b6c819094239dfd12399643 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4c13494819095821f44916329c9 |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e88d88248190a4061327296818c7 |
completed | March 14, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e8f38ba88190944236b2e8ae743e |
completed | March 14, 2026, 4:49 a.m. |
Created at: March 6, 2026, 9:46 p.m.