Triple

T14704101
Position Surface form Disambiguated ID Type / Status
Subject Émile Verhaeren E345379 entity
Predicate influenced P9 FINISHED
Object Rainer Maria Rilke E28814 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: Rainer Maria Rilke | Statement: [Émile Verhaeren, influenced, Rainer Maria Rilke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainer Maria Rilke
Context triple: [Émile Verhaeren, influenced, Rainer Maria Rilke]
  • A. Rainer Maria Rilke chosen
    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."
  • B. Ruth Rilke
    Ruth Rilke was the daughter of the renowned Bohemian-Austrian poet Rainer Maria Rilke.
  • C. Georg Trakl
    Georg Trakl was an Austrian Expressionist poet known for his dark, hallucinatory imagery and deeply melancholic, symbol-laden verse.
  • D. Stefan Georg
    Stefan Georg is a German linguist known for his critical work on historical linguistics and his prominent opposition to the proposed Altaic language family hypothesis.
  • E. Christian Morgenstern
    Christian Morgenstern was a German poet and writer best known for his humorous and absurdist verse, particularly the collection "Galgenlieder" ("Gallows Songs").
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf087ce8c819081a7186df67bcf1f completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.