Triple

T16219779
Position Surface form Disambiguated ID Type / Status
Subject Anna Torv E393692 entity
Predicate name P16 FINISHED
Object Anna Torv E393692 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: Anna Torv | Statement: [Anna Torv, name, Anna Torv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Torv
Context triple: [Anna Torv, name, Anna Torv]
  • A. Anna Torv chosen
    Anna Torv is an Australian actress best known for her lead role as FBI agent Olivia Dunham in the science fiction television series "Fringe."
  • B. Kiernan Shipka
    Kiernan Shipka is an American actress best known for her leading roles in the series Mad Men and Chilling Adventures of Sabrina.
  • C. 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."
  • D. Lauren Ambrose
    Lauren Ambrose is an American actress best known for her critically acclaimed role as Claire Fisher on the HBO drama series "Six Feet Under."
  • E. 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.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d25abec8190954b640b63efa0c2 completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:03 a.m.