Triple

T5089937
Position Surface form Disambiguated ID Type / Status
Subject Pericope adulterae E114727 entity
Predicate influencedArt P20089 FINISHED
Object numerous paintings and literary works 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: numerous paintings and literary works | Statement: [Pericope adulterae, influencedArt, numerous paintings and literary works]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencedArt
Context triple: [Pericope adulterae, influencedArt, numerous paintings and literary works]
  • A. influenceOnArt chosen
    Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
  • B. inArtSince
    Indicates that an entity has been involved or active in the field of art starting from a specified time.
  • C. artMovement
    Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
  • D. inspiredArtMovement
    Indicates that one entity served as a creative or conceptual influence leading to the development or direction of an art movement in the other entity.
  • E. artisticField
    Indicates the artistic domain or creative discipline in which an entity is active or associated.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75407e6881908d00377a256ff37e completed March 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69bd715c0a448190afc837c6c31dc6ab completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:40 p.m.