Triple

T14258747
Position Surface form Disambiguated ID Type / Status
Subject Back to You E353454 entity
Predicate starring P1507 FINISHED
Object Laura Marano E961339 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: Laura Marano | Statement: [Back to You, starring, Laura Marano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Marano
Context triple: [Back to You, starring, Laura Marano]
  • A. Laura Marano chosen
    Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
  • B. Ashley Benson
    Ashley Benson is an American actress and model best known for her role as Hanna Marin on the television series "Pretty Little Liars."
  • C. Megan Fairchild
    Megan Fairchild is an acclaimed American ballet dancer and principal with New York City Ballet, known for her virtuosity in both classical and contemporary roles.
  • D. Kathrine Narducci
    Kathrine Narducci is an American actress best known for her roles in Italian-American crime dramas, including prominent parts in films and television series such as The Sopranos.
  • E. Kaitlin Olson
    Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15f2cd8819085f949fa5122af2a completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:09 a.m.