Triple

T13293199
Position Surface form Disambiguated ID Type / Status
Subject Giovanni Lanfranco E316609 entity
Predicate influencedBy P9 FINISHED
Object Correggio E167336 NE 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: Correggio | Statement: [Giovanni Lanfranco, influencedBy, Correggio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Correggio
Context triple: [Giovanni Lanfranco, influencedBy, Correggio]
  • A. Correggio chosen
    Correggio was an Italian Renaissance painter renowned for his innovative use of illusionistic perspective, sensuality, and dynamic compositions that influenced later Baroque art.
  • B. Correggio
    Correggio is a town in the Emilia-Romagna region of northern Italy, known for its Renaissance heritage and as the birthplace of the painter Antonio da Correggio.
  • C. Gualdo Cattaneo
    Gualdo Cattaneo is a historic hill town and wine-producing municipality in the Umbria region of central Italy, known for its medieval architecture and surrounding vineyards.
  • D. Faenza
    Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
  • E. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d8ee2081908428339216c43b47 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.