Triple

T8493272
Position Surface form Disambiguated ID Type / Status
Subject Dr. Sarton E201024 entity
Predicate authorNationalityOfWorkAppearedIn P6689 FINISHED
Object American 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: American | Statement: [Dr. Sarton, authorNationalityOfWorkAppearedIn, American]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorNationalityOfWorkAppearedIn
Context triple: [Dr. Sarton, authorNationalityOfWorkAppearedIn, American]
  • A. appearsInWorkByAuthorNationality
    Indicates that an entity appears in a work created by an author of a specified nationality.
  • B. authorNationality chosen
    Indicates the relationship between an author and the country or nationality with which that author is identified.
  • C. creatorNationality
    Indicates that the creator of an entity has a specified national affiliation or citizenship.
  • D. associatedComposerNationality
    Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
  • E. coAuthorNationality
    Indicates that two or more co-authors of a work share the same nationality or have nationalities being related in the context of their co-authorship.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe579b7088190b297b04527e36a2b completed March 31, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69cbd10a4b0881909e254117780dc823 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:13 p.m.