Triple

T5796496
Position Surface form Disambiguated ID Type / Status
Subject Deposition by Raphael E128519 entity
Predicate influencedBy P9 FINISHED
Object Perugino E124903 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: Perugino | Statement: [Deposition by Raphael, influencedBy, Perugino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perugino
Context triple: [Deposition by Raphael, influencedBy, Perugino]
  • A. Perugino chosen
    Perugino was an Italian Renaissance painter renowned for his serene, harmonious compositions and as an important teacher and influence on Raphael.
  • B. Pinturicchio
    Pinturicchio was an Italian Renaissance painter known for his richly decorated frescoes in Rome and other Italian cities.
  • C. Luca Signorelli
    Luca Signorelli was an Italian Renaissance painter renowned for his powerful, anatomically precise frescoes and dramatic compositions, particularly in the Orvieto Cathedral.
  • D. 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.
  • E. Domenico Ghirlandaio
    Domenico Ghirlandaio was a prominent Italian Renaissance painter of the Florentine school, renowned for his detailed fresco cycles and as the teacher of Michelangelo.
  • 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_69c02a9304b081909ea004902f4ca569 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfb0ea6c819095487404545af9ca completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:51 p.m.