Triple

T9469116
Position Surface form Disambiguated ID Type / Status
Subject Johann Friedrich Overbeck E228346 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: [Johann Friedrich Overbeck, influencedBy, Perugino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perugino
Context triple: [Johann Friedrich Overbeck, 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. Raffaellino da Reggio
    Raffaellino da Reggio was a late 16th-century Italian Mannerist painter known for his fresco decorations in prominent Roman palaces and churches.
  • E. Piero di Cosimo
    Piero di Cosimo was an Italian Renaissance painter from Florence known for his imaginative mythological scenes, eccentric personality, and innovative use of color and atmosphere.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fe0c26c8190b17c4dd9d1d8410c completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152670dcc8190abcaabbd62c97a34 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:53 p.m.