Triple

T16676135
Position Surface form Disambiguated ID Type / Status
Subject Morrissey E405218 entity
Predicate hasLiteraryInterest P61793 FINISHED
Object Victorian literature LITERAL 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: Victorian literature | Statement: [Morrissey, hasLiteraryInterest, Victorian literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiteraryInterest
Context triple: [Morrissey, hasLiteraryInterest, Victorian literature]
  • A. literaryInterest chosen
    Indicates that one entity has an interest in, appreciation of, or engagement with the literary works or writings of another entity.
  • B. hasLiteraryConnection
    Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
  • C. hasViewOnLiterature
    Indicates that an entity holds a particular opinion, perspective, or stance regarding literature.
  • D. hasLiteraryContext
    Indicates that something is associated with, situated within, or explained by a particular literary context (such as a work, genre, period, or interpretive framework).
  • E. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.