Triple

T22880127
Position Surface form Disambiguated ID Type / Status
Subject Olivia Shakespear E567440 entity
Predicate name P16 FINISHED
Object Olivia Shakespear 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: Olivia Shakespear | Statement: [Olivia Shakespear, name, Olivia Shakespear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia Shakespear
Context triple: [Olivia Shakespear, name, Olivia Shakespear]
  • A. Olivia Shakespear chosen
    Olivia Shakespear was a British novelist and literary hostess closely associated with the London literary scene of the late 19th and early 20th centuries, known for her friendship with W. B. Yeats.
  • B. Anne Shakespeare
    Anne Shakespeare was one of the daughters of John Shakespeare and Mary Arden, and thus a sister of the playwright William Shakespeare.
  • C. Hannah Shakespeare
    Hannah Shakespeare is a television writer and producer best known for creating the crime drama series "Killer Women."
  • D. Hannah Shakespeare
    Hannah Shakespeare is a screenwriter best known for co-writing the 2012 mystery thriller film "The Raven."
  • E. Margaret Shakespeare
    Margaret Shakespeare was one of the daughters of John Shakespeare and Mary Arden, and the sister of the playwright William Shakespeare.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5b1ea481909a31a8ed6792ad04 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.