Triple

T10138079
Position Surface form Disambiguated ID Type / Status
Subject Anselm Feuerbach E226910 entity
Predicate influencedBy 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: [Anselm Feuerbach, influencedBy, Raphael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raphael
Context triple: [Anselm Feuerbach, influencedBy, Raphael]
  • A. 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.
  • B. Raphael
    Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
  • C. Raphael
    Raphael is the hot-headed, sai-wielding Ninja Turtle known for his toughness, impulsive nature, and fierce loyalty to his brothers.
  • 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. 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.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde88344a481909ee833451fab6e58 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ee7b6081909f5c08583a619308 completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:06 p.m.