Triple

T35375691
Position Surface form Disambiguated ID Type / Status
Subject Sweet and Lowdown E1021899 entity
Predicate artDirectionFocus P109058 FINISHED
Object 1930s American settings 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: 1930s American settings | Statement: [Sweet and Lowdown, artDirectionFocus, 1930s American settings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: artDirectionFocus
Context triple: [Sweet and Lowdown, artDirectionFocus, 1930s American settings]
  • A. artDirectionBy
    Indicates that the visual and stylistic design of a work is overseen or created by a specified art director.
  • B. artisticDirection
    Indicates that one entity is responsible for guiding and overseeing the creative or aesthetic vision of another entity or project.
  • C. creativeWorkFocus chosen
    Indicates that one entity is the primary subject, theme, or focal point of another entity’s creative work.
  • D. artCollectionFocus
    Indicates that an art collection is primarily centered around or devoted to a particular theme, style, period, subject, or type of artwork.
  • E. hasArtDirection
    Indicates that one entity is responsible for or associated with the artistic direction or visual style of another entity.
  • 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_69f76df000488190ab7c97f565677055 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79533b88c8190934ec4cb21770e24 completed May 3, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f79104f5b48190a496cdffde8472da completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.