Triple

T8469425
Position Surface form Disambiguated ID Type / Status
Subject Variations on a Theme by Schumann, Op. 9 E200243 entity
Predicate dedicatedTo P500 FINISHED
Object Julie Schumann E300224 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: Julie Schumann | Statement: [Variations on a Theme by Schumann, Op. 9, dedicatedTo, Julie Schumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Schumann
Context triple: [Variations on a Theme by Schumann, Op. 9, dedicatedTo, Julie Schumann]
  • A. Julie Schumann chosen
    Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
  • B. Julie Naschauer
    Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
  • C. Lisa Brühlmann
    Lisa Brühlmann is a Swiss film and television director and screenwriter known for her work on acclaimed series such as "The Girl Before" and "Killing Eve."
  • D. Stefanie Ehrlich
    Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
  • E. Christine Kaufmann
    Christine Kaufmann was a German-Austrian actress and author who gained international fame as a child star and later became known for her work in European cinema and television.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d5dd088190a79050417f527f14 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf8889ddcc81909ca45ce6438e3a2b completed April 3, 2026, 9:29 a.m.
Created at: March 30, 2026, 6:11 p.m.