Triple

T12877546
Position Surface form Disambiguated ID Type / Status
Subject Ugly Betty E308006 entity
Predicate starring P1507 FINISHED
Object Ashley Jensen E641426 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 Jensen | Statement: [Ugly Betty, starring, Ashley Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley Jensen
Context triple: [Ugly Betty, starring, Ashley Jensen]
  • A. Ashley Jensen chosen
    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.
  • 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. Ashley Reed
    Ashley Reed is a former standout gymnast for the University of Florida’s Florida Gators program, recognized as a notable alumna of the team.
  • D. Ashley Brooke
    Ashley Brooke is an actress known for her role in the film "Troop Zero."
  • E. Ashley Greenwick
    Ashley Greenwick is a fictional character from the series "Sirens," known for her role within the show's ensemble cast.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ccee708190bb4caa604386e3a3 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:38 p.m.