Triple

T5087607
Position Surface form Disambiguated ID Type / Status
Subject Waldfriedhof Stuttgart E114673 entity
Predicate significantPlaceOfBurial P196 FINISHED
Object Hermann Hesse E140439 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: Hermann Hesse | Statement: [Waldfriedhof Stuttgart, significantPlaceOfBurial, Hermann Hesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann Hesse
Context triple: [Waldfriedhof Stuttgart, significantPlaceOfBurial, Hermann Hesse]
  • A. Herman Hesse chosen
    Herman Hesse was a German-Swiss novelist, poet, and painter best known for works like "Steppenwolf," "Siddhartha," and "The Glass Bead Game," which explore themes of self-discovery, spirituality, and individuality.
  • B. Hermann Hess
    Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
  • C. Rainer Maria Rilke
    Rainer Maria Rilke was an influential Bohemian-Austrian poet and novelist renowned for his lyrical, introspective works such as the "Duino Elegies" and "Sonnets to Orpheus."
  • D. Ruth Rilke
    Ruth Rilke was the daughter of the renowned Bohemian-Austrian poet Rainer Maria Rilke.
  • E. Thomas Mann
    Thomas Mann is an American actor known for his roles in films such as "Kong: Skull Island," "Project X," and "Me and Earl and the Dying Girl."
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cb8d2c8190a0f7c574a177091a completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb144a6108190a20bb6d9dc6bf676 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.