Triple

T5401434
Position Surface form Disambiguated ID Type / Status
Subject Daily Bugle newsroom E120785 entity
Predicate visualIconography P8270 FINISHED
Object busy open-plan newsroom with desks and phones 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: busy open-plan newsroom with desks and phones | Statement: [Daily Bugle newsroom, visualIconography, busy open-plan newsroom with desks and phones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualIconography
Context triple: [Daily Bugle newsroom, visualIconography, busy open-plan newsroom with desks and phones]
  • A. visualElements
    Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
  • B. iconOf
    Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
  • C. iconographyFeature chosen
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • D. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • E. iconographicVariant
    Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8932b8bc8190bd31e11b167a7212 completed March 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69bd84660ea08190a641084814fcf94d completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:04 p.m.