Triple

T25500034
Position Surface form Disambiguated ID Type / Status
Subject Katerina Lvovna Izmailova E639083 entity
Predicate literaryComparison P153710 FINISHED
Object compared to Shakespeare’s Lady Macbeth 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: compared to Shakespeare’s Lady Macbeth | Statement: [Katerina Lvovna Izmailova, literaryComparison, compared to Shakespeare’s Lady Macbeth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryComparison
Context triple: [Katerina Lvovna Izmailova, literaryComparison, compared to Shakespeare’s Lady Macbeth]
  • A. literaryParallels chosen
    Indicates a relationship where one work, passage, or element in literature mirrors, echoes, or structurally resembles another in theme, style, plot, or characterization.
  • B. literarySubject
    Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
  • C. inLiterature
    Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
  • D. literaryLanguage
    Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
  • E. literaryCenter
    Indicates that a location functions as a primary hub or focal point for literary activity, such as writing, publishing, or literary culture.
  • F. None of above.

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_69e75dbbd2a88190b70e1e645de14b9a completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f627aedf548190bc9f53c8a2d67b50 completed May 2, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
Created at: April 21, 2026, 2:42 p.m.