Triple

T6886708
Position Surface form Disambiguated ID Type / Status
Subject Andrea del Verrocchio E158938 entity
Predicate student P7251 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: [Andrea del Verrocchio, student, Perugino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perugino
Context triple: [Andrea del Verrocchio, student, 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. Andrea Crivelli
    Andrea Crivelli was an architect known for his work on the Hofkirche in Innsbruck, a significant Renaissance-era church in Austria.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90e92488190b738676342ac6393 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7584189008190b908f530a4525885 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:23 p.m.