Triple

T7140444
Position Surface form Disambiguated ID Type / Status
Subject Clara Zetkin E166425 entity
Predicate editorOf P1954 FINISHED
Object Die Gleichheit E643107 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: Die Gleichheit | Statement: [Clara Zetkin, editorOf, Die Gleichheit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Die Gleichheit
Context triple: [Clara Zetkin, editorOf, Die Gleichheit]
  • A. Die Gleichheit chosen
    Die Gleichheit was a German socialist feminist magazine that served as a leading voice for the women’s movement and working-class women in the late 19th and early 20th centuries.
  • B. Gelykheid
    Gelykheid was a Dutch warship that was captured by the British Royal Navy during the 1797 Battle of Camperdown in the French Revolutionary Wars.
  • C. The Righteous
    The Righteous is a film written by and starring Mark O'Brien, known as a brooding psychological horror drama with strong religious and moral themes.
  • D. Große Freiheit
    Große Freiheit is a famous side street off Hamburg’s Reeperbahn known for its nightlife, music clubs, and historic role in the city’s entertainment and red-light scene.
  • E. To Be Equal
    "To Be Equal" is a 1964 book by civil rights leader Whitney Young that outlines his vision and strategy for achieving racial equality and social justice in the United States.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7775e408190b880abde0a3f8d12 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad940bd88190abec876e2d2369bf completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.