Triple

T14552321
Position Surface form Disambiguated ID Type / Status
Subject Her Smell E341448 entity
Predicate castMember P1668 FINISHED
Object Ashley Benson E821974 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: Ashley Benson | Statement: [Her Smell, castMember, Ashley Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley Benson
Context triple: [Her Smell, castMember, Ashley Benson]
  • A. Ashley Benson chosen
    Ashley Benson is an American actress and model best known for her role as Hanna Marin on the television series "Pretty Little Liars."
  • B. Ashley Brooke
    Ashley Brooke is an actress known for her role in the film "Troop Zero."
  • C. Ashley Jensen
    Ashley Jensen is a Scottish actress and narrator known for her roles in television series such as "Extras," "Ugly Betty," and "Agatha Raisin," as well as various film and voice performances.
  • D. Laura Marano
    Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
  • E. 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.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967e9c208190a00a82122b8c884c completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:23 a.m.