Triple

T2521364
Position Surface form Disambiguated ID Type / Status
Subject 16 and Pregnant E55529 entity
Predicate executiveProducer P7225 FINISHED
Object Lauren Dolgen E386554 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: Lauren Dolgen | Statement: [16 and Pregnant, executiveProducer, Lauren Dolgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Dolgen
Context triple: [16 and Pregnant, executiveProducer, Lauren Dolgen]
  • A. Lauren Dolgen chosen
    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.
  • B. Lauren Barber
    Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
  • C. Lauren Nourse
    Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
  • D. 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.
  • 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.
  • 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_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_69b4f00a71a881908790c9fccca51a62 completed March 14, 2026, 5:20 a.m.
Created at: March 6, 2026, 9:46 p.m.