Triple

T35914776
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Ellen Terry E1038712 entity
Predicate hasSubjectRelationToCreator P157650 FINISHED
Object friend of Julia Margaret Cameron 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: friend of Julia Margaret Cameron | Statement: [Portrait of Ellen Terry, hasSubjectRelationToCreator, friend of Julia Margaret Cameron]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectRelationToCreator
Context triple: [Portrait of Ellen Terry, hasSubjectRelationToCreator, friend of Julia Margaret Cameron]
  • A. hasCreatorRelationshipToSubject
    Indicates that an entity stands in a creator role with respect to the subject, meaning it is responsible for bringing the subject into existence or producing it.
  • B. hasAuthorRelationshipToSubject
    Indicates that an entity serves as the author or creator of the specified subject.
  • C. hasCreatorFamilyRelation
    Indicates that an entity’s creator is related by family (e.g., parent, sibling, spouse, or other kinship) to another specified person.
  • D. hasAuthorRelationship
    Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
  • E. subjectRelationToAuthor chosen
    Indicates the relationship or connection that the subject has to the author.
  • 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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a000014497c819088d5cda3977522dd completed May 10, 2026, 3:48 a.m.
PD Predicate disambiguation batch_69ffff9a52b08190be1024e0fb6fe661 completed May 10, 2026, 3:46 a.m.
Created at: May 3, 2026, 4:07 p.m.