Triple

T36471964
Position Surface form Disambiguated ID Type / Status
Subject ÄM 21300 E898559 entity
Predicate appliesToArtworkType P3050 FINISHED
Object bust 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: bust | Statement: [ÄM 21300, appliesToArtworkType, bust]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToArtworkType
Context triple: [ÄM 21300, appliesToArtworkType, bust]
  • A. artworkType chosen
    Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
  • B. genreOfArtSupported
    Indicates the type or category of art that an entity supports, promotes, or endorses.
  • C. includesArtBy
    Indicates that one entity contains, features, or presents artwork created by another entity.
  • D. appliesToProductType
    Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
  • E. artworkDimensionType
    Indicates the type or category of measurement (e.g., height, width, depth) used to describe an artwork’s dimensions.
  • 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff84df768c81908c65a1a7e33103ad completed May 9, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69ff848d0af881908ee42c27a58af47e completed May 9, 2026, 7:01 p.m.
Created at: May 3, 2026, 4:10 p.m.