Triple

T2291741
Position Surface form Disambiguated ID Type / Status
Subject Titian E51518 entity
Predicate influencedBy P9 FINISHED
Object Giovanni Bellini E230543 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: Giovanni Bellini | Statement: [Titian, influencedBy, Giovanni Bellini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giovanni Bellini
Context triple: [Titian, influencedBy, Giovanni Bellini]
  • A. Giovanni Bellini chosen
    Giovanni Bellini was a pioneering 15th-century Venetian Renaissance painter renowned for his luminous use of color and influential altarpieces and devotional works.
  • B. Tiziano Martini
    Tiziano Martini is an Italian artist known for his contemporary abstract painting and experimental use of materials and surfaces.
  • C. Giorgione
    Giorgione was an influential Italian painter of the Venetian school whose poetic, atmospheric style helped shape the High Renaissance.
  • D. Andrea Mantegna
    Andrea Mantegna was a 15th-century Italian Renaissance painter renowned for his pioneering use of perspective, sculptural drawing style, and influential frescoes in Padua and Mantua.
  • E. Carlo Dolci
    Carlo Dolci was a 17th-century Italian Baroque painter from Florence, renowned for his highly finished, devout religious works and meticulous attention to detail.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b50df481908a3d8f71d245e8fa completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b974d881909b35dfd08def7b80 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:48 p.m.