Triple

T7464137
Position Surface form Disambiguated ID Type / Status
Subject Italian Renaissance painting E176328 entity
Predicate hasNotableArtist P2487 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: [Italian Renaissance painting, hasNotableArtist, Correggio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Correggio
Context triple: [Italian Renaissance painting, hasNotableArtist, 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. Cotignola
    Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d9d25c819087efc772b5b127fa completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8346adb3081908f049d8dcd623215 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:39 p.m.