Triple

T6020439
Position Surface form Disambiguated ID Type / Status
Subject Shams-ud-Dīn E134048 entity
Predicate influenced P9 FINISHED
Object Friedrich Rückert E214649 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: Friedrich Rückert | Statement: [Shams-ud-Dīn, influenced, Friedrich Rückert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrich Rückert
Context triple: [Shams-ud-Dīn, influenced, Friedrich Rückert]
  • A. Friedrich Rückert chosen
    Friedrich Rückert was a 19th-century German poet, translator, and Orientalist whose lyrical verse inspired numerous Romantic composers, including Mahler and Schubert.
  • B. Joseph von Eichendorff
    Joseph von Eichendorff was a prominent German Romantic poet and novelist whose lyrical, nature-infused verse became a foundational source for many Romantic Lieder.
  • C. Eduard Mörike
    Eduard Mörike was a 19th-century German Romantic poet and writer known for his lyrical poetry, novellas, and influential contributions to German literature.
  • D. Christian Morgenstern
    Christian Morgenstern was a German poet and writer best known for his humorous and absurdist verse, particularly the collection "Galgenlieder" ("Gallows Songs").
  • E. 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.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108be2170819084b4b940e52b0185 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.