Triple

T5812882
Position Surface form Disambiguated ID Type / Status
Subject Alex Vause E128912 entity
Predicate portrayedBy P1507 FINISHED
Object Laura Prepon E132354 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 Prepon | Statement: [Alex Vause, portrayedBy, Laura Prepon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Prepon
Context triple: [Alex Vause, portrayedBy, Laura Prepon]
  • A. Laura Prepon chosen
    Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
  • B. Rachel Bilson
    Rachel Bilson is an American actress best known for her television roles, including starring in the series "The O.C." and other popular TV dramas and comedies.
  • C. Ariel Winter
    Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
  • D. Emma Roberts
    Emma Roberts is an American actress and singer known for her roles in films like "Nancy Drew" and TV series such as "American Horror Story" and "Scream Queens."
  • E. Sophia Bush
    Sophia Bush is an American actress, activist, and entrepreneur best known for her role on the television series "One Tree Hill" and her extensive work in social and political advocacy.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b56044c8190847478a342d441c2 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfb903788190bae497fe72bd1e78 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:52 p.m.