Triple

T38691523
Position Surface form Disambiguated ID Type / Status
Subject Freya Roth E949276 entity
Predicate originalWorkLanguageSetting P74798 FINISHED
Object German-speaking setting 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: German-speaking setting | Statement: [Freya Roth, originalWorkLanguageSetting, German-speaking setting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalWorkLanguageSetting
Context triple: [Freya Roth, originalWorkLanguageSetting, German-speaking setting]
  • A. languageOfUnderlyingWork
    Indicates the language in which the original or underlying work (from which a derived or related work stems) is expressed.
  • B. originalLanguageOfWholeWork chosen
    Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
  • C. originalLanguageSupport
    Indicates that one entity provides or maintains functionality, content, or interaction in the original language of another entity.
  • D. languageOfParentWork
    Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
  • E. originalLanguageStatus
    Indicates the status or condition of something with respect to its original language (e.g., whether it is in, derived from, or altered from the language in which it was first created).
  • 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_69f76efe16148190befd5dd59c3dfeaa completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a2026248190b894436a578d79ac completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:33 p.m.