Triple

T20663317
Position Surface form Disambiguated ID Type / Status
Subject All Dressed in White E507817 entity
Predicate author P4 FINISHED
Object Alafair Burke NE NERFINISHED

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: Alafair Burke | Statement: [All Dressed in White, author, Alafair Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alafair Burke
Context triple: [All Dressed in White, author, Alafair Burke]
  • A. Alafair Burke chosen
    Alafair Burke is an American crime novelist, law professor, and former prosecutor known for her contemporary suspense novels and collaborations on bestselling mystery series.
  • B. Emily Alyn Lind
    Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
  • C. Daniela Denby-Ashe
    Daniela Denby-Ashe is a British actress best known for her roles in television series such as "My Family," "EastEnders," and the period drama "North & South."
  • D. Elisha Cuthbert
    Elisha Cuthbert is a Canadian actress known for her roles in film and television, including prominent parts in series like "24" and various comedy and thriller movies.
  • E. AnnaLynne McCord
    AnnaLynne McCord is an American actress and activist best known for her roles in television series like "90210" and "Nip/Tuck" and in various horror and thriller films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f4872481908858eb88ce89dd47 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.