Triple

T4056166
Position Surface form Disambiguated ID Type / Status
Subject Folger Shakespeare Library editions of Shakespeare’s plays E84698 entity
Predicate textPolicy P46417 FINISHED
Object modern English spelling with original wording preserved 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: modern English spelling with original wording preserved | Statement: [Folger Shakespeare Library editions of Shakespeare’s plays, textPolicy, modern English spelling with original wording preserved]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textPolicy
Context triple: [Folger Shakespeare Library editions of Shakespeare’s plays, textPolicy, modern English spelling with original wording preserved]
  • A. languagePolicyIssue
    Indicates that there is a problem, conflict, or concern related to rules or practices governing language use.
  • B. dataPolicy
    Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
  • C. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • D. allowsText chosen
    Indicates that one entity permits or supports the use, input, or display of textual content in relation to another entity.
  • E. textType
    Indicates the classification of a text according to its type, format, or genre.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbabec608190a35d39d3d03b928b completed March 9, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:38 p.m.