Triple

T34001201
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Boiger E871822 entity
Predicate hasCreatedVisualArtFor P21901 FINISHED
Object picture books 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: picture books | Statement: [Alexandra Boiger, hasCreatedVisualArtFor, picture books]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCreatedVisualArtFor
Context triple: [Alexandra Boiger, hasCreatedVisualArtFor, picture books]
  • A. hasArtisticWorks
    Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
  • B. hasCreatedPublicArt
    Indicates that an entity has produced or is responsible for creating a work of art intended for display in public spaces.
  • C. artworkBy chosen
    Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
  • D. hasArtworksFrom
    Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
  • E. hasFamousArtwork
    Indicates that an entity possesses or is associated with a well-known or widely recognized artwork.
  • 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_69f3499f8cbc81908de6ec89fa91ea8f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
Created at: May 1, 2026, 1:50 a.m.