Triple

T6575696
Position Surface form Disambiguated ID Type / Status
Subject Umbrian school E155555 entity
Predicate influenced P9 FINISHED
Object Raphael E16943 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: Raphael | Statement: [Umbrian school, influenced, Raphael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raphael
Context triple: [Umbrian school, influenced, Raphael]
  • A. Raphael
    Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
  • B. Raphael chosen
    Raphael was a master Italian High Renaissance painter and architect renowned for his harmonious compositions and influential work in both painting and church design.
  • C. Michelangelo
    Michelangelo was a Renaissance master renowned as a sculptor, painter, and architect, celebrated for works such as the Sistine Chapel ceiling and the design of major religious structures in Rome.
  • D. Andrea del Sarto
    Andrea del Sarto was a leading early 16th-century Florentine painter of the High Renaissance, renowned for his harmonious compositions, refined color, and masterful draftsmanship.
  • E. Sandro Botticelli
    Sandro Botticelli was an Italian Early Renaissance painter renowned for his graceful linear style and iconic works such as "The Birth of Venus" and "Primavera."
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae725f988190bacdbeb493b758cf completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7867e688190aad8cc2b396a64eb completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:53 p.m.