Triple

T14568055
Position Surface form Disambiguated ID Type / Status
Subject Emily Osment E341837 entity
Predicate name P16 FINISHED
Object Emily Osment E341837 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: Emily Osment | Statement: [Emily Osment, name, Emily Osment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Osment
Context triple: [Emily Osment, name, Emily Osment]
  • A. Emily Osment chosen
    Emily Osment is an American actress and singer best known for her role as Lilly Truscott on Disney Channel’s "Hannah Montana" and for her work in various film and television comedies and dramas.
  • B. Dakota O'Donnell
    Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
  • C. Debby Ryan
    Debby Ryan is an American actress and singer best known for her leading roles in Disney Channel series like "Jessie" and films such as "Radio Rebel" and "Insatiable."
  • D. Madelaine Petsch
    Madelaine Petsch is an American actress best known for playing Cheryl Blossom on the television series "Riverdale."
  • E. Melissa Joan Hart
    Melissa Joan Hart is an American actress best known for her lead roles in the 1990s television series "Clarissa Explains It All" and "Sabrina the Teenage Witch."
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.