Triple

T10126001
Position Surface form Disambiguated ID Type / Status
Subject Mynheer Peeperkorn E226215 entity
Predicate isRivalOf P22658 FINISHED
Object Hans Castorp E226212 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: Hans Castorp | Statement: [Mynheer Peeperkorn, isRivalOf, Hans Castorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Castorp
Context triple: [Mynheer Peeperkorn, isRivalOf, Hans Castorp]
  • A. Hans Castorp chosen
    Hans Castorp is the introspective young German engineer whose prolonged stay at a Swiss sanatorium drives the philosophical and psychological exploration at the heart of Thomas Mann’s novel *The Magic Mountain*.
  • B. Gregor de Berghmann
    Gregor de Berghmann is a fictional character appearing in the narrative of "The Black Room."
  • C. Andreas Achenbach
    Andreas Achenbach was a prominent 19th-century German landscape painter associated with the Düsseldorf school, renowned for his dramatic seascapes and atmospheric natural scenes.
  • D. Johnny Morgenstern
    Johnny Morgenstern is a person notable enough to be recognized as a prominent bearer of the surname Morgenstern.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ed85b4819097dfe89e044e1a90 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3006aad248190a612f4e033011fa0 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:05 p.m.