Triple

T7517177
Position Surface form Disambiguated ID Type / Status
Subject Weimar culture E177673 entity
Predicate notableFigure P4290 FINISHED
Object Thomas Mann E6705 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: Thomas Mann | Statement: [Weimar culture, notableFigure, Thomas Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Mann
Context triple: [Weimar culture, notableFigure, Thomas Mann]
  • A. Thomas Mann chosen
    Thomas Mann was a German novelist, short story writer, and essayist renowned for works like "Buddenbrooks" and "The Magic Mountain," which explore the psychology and moral crises of modern European society.
  • B. 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."
  • C. Heinrich Mann
    Heinrich Mann was a prominent German novelist and essayist known for his socially critical works and opposition to authoritarianism in the early 20th century.
  • D. Hermann Hess
    Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
  • E. Hermann Sudermann
    Hermann Sudermann was a prominent German dramatist and novelist of the late 19th and early 20th centuries, known for his naturalist plays and stories that were widely adapted for stage and film.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f6ccc8819080ffd123fdd59a50 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84621ba688190b85ee787b856b138 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.