Triple

T5796601
Position Surface form Disambiguated ID Type / Status
Subject Danaë by Correggio E128521 entity
Predicate significantWorkOf P4 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: [Danaë by Correggio, significantWorkOf, Correggio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Correggio
Context triple: [Danaë by Correggio, significantWorkOf, 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. Faenza
    Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
  • C. 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.
  • D. Cremona
    Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
  • E. Osimo
    Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a945fe0819095e62d480c84a2b5 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0d71b7881909108c7347ce91317 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:51 p.m.