Triple

T5654928
Position Surface form Disambiguated ID Type / Status
Subject Frieda Schiff Warburg E124593 entity
Predicate memberOf P10 FINISHED
Object Warburg family E120866 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: Warburg family | Statement: [Frieda Schiff Warburg, memberOf, Warburg family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warburg family
Context triple: [Frieda Schiff Warburg, memberOf, Warburg family]
  • A. Warburg family chosen
    The Warburg family is a prominent German-Jewish banking and philanthropic dynasty influential in international finance, culture, and public life from the 19th century onward.
  • B. Bayer family
    The Bayer family is a group of southern sky constellations introduced by German astronomer Johann Bayer in his 1603 star atlas Uranometria.
  • C. Krupp family
    The Krupp family is a prominent German industrial dynasty historically known for its powerful steel and armaments empire centered in Essen.
  • D. Neustadt family
    The Neustadt family is a philanthropic family known for endowing and supporting the prestigious Neustadt International Prize for Literature.
  • E. Foellinger family
    The Foellinger family is a philanthropic family known for their significant contributions to educational and cultural institutions, particularly at the University of Illinois.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f998688190b18eb6469e8c054f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9b43288190b6d7c610546b52f2 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.