Triple

T13649975
Position Surface form Disambiguated ID Type / Status
Subject Lars Hertervig E326705 entity
Predicate influencedBy P9 FINISHED
Object Andreas Achenbach E561138 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: Andreas Achenbach | Statement: [Lars Hertervig, influencedBy, Andreas Achenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas Achenbach
Context triple: [Lars Hertervig, influencedBy, Andreas Achenbach]
  • A. Andreas Achenbach chosen
    Andreas Achenbach was a prominent 19th-century German landscape painter associated with the Düsseldorf school, renowned for his dramatic seascapes and atmospheric natural scenes.
  • B. Peter Pfaff
    Peter Pfaff is the son of Indian economist and politician Anita Bose Pfaff and the grandson of Indian nationalist leader Subhas Chandra Bose.
  • C. Bertram Bloch
    Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
  • D. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • E. Tonio Kröger
    Tonio Kröger is a novella by Thomas Mann that explores the inner conflict of an artist torn between bourgeois respectability and bohemian creativity.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78afbf8948190ad38ea7529e52f16 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.