Triple

T13199223
Position Surface form Disambiguated ID Type / Status
Subject Princeton Classics edition of The Crooked Timber of Humanity E314197 entity
Predicate hasScholarlyApparatus P39052 FINISHED
Object yes 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: yes | Statement: [Princeton Classics edition of The Crooked Timber of Humanity, hasScholarlyApparatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScholarlyApparatus
Context triple: [Princeton Classics edition of The Crooked Timber of Humanity, hasScholarlyApparatus, yes]
  • A. hasScholarlyEdition chosen
    Indicates that an entity has an associated scholarly (critically edited and annotated) edition prepared according to academic standards.
  • B. isScholarly
    Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
  • C. hasBibliography
    Indicates that one entity includes or is associated with a bibliography listing referenced or related works.
  • D. hasExegesisBy
    Indicates that an entity (such as a text or passage) is the subject of an exegesis authored or provided by another entity.
  • E. hasMarginalia
    Indicates that one entity (typically a document or page) contains marginal notes, comments, or annotations associated with it.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc6bc108190b5a6a265bf6e9fd4 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:16 p.m.