Triple

T5404873
Position Surface form Disambiguated ID Type / Status
Subject Warburg family E120866 entity
Predicate member P10 FINISHED
Object Aby M. Warburg E517851 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: Aby M. Warburg | Statement: [Warburg family, member, Aby M. Warburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aby M. Warburg
Context triple: [Warburg family, member, Aby M. Warburg]
  • A. Aby Warburg chosen
    Aby Warburg was a pioneering German art historian and cultural theorist known for his influential studies on Renaissance art, symbolism, and the afterlife of classical antiquity in Western visual culture.
  • B. Max Warburg
    Max Warburg was a prominent German Jewish banker and influential figure in international finance in the late 19th and early 20th centuries.
  • C. Harry Rapf
    Harry Rapf was an American film producer and studio executive best known for his prolific work at Metro-Goldwyn-Mayer during the early to mid-20th century.
  • D. Günther Stern
    Günther Stern, later known as Günther Anders, was a German-Jewish philosopher and essayist noted for his critical writings on technology, modernity, and the human condition.
  • E. Heinrich Stern
    Heinrich Stern was a physician and medical leader best known for founding the American College of Physicians, a major professional organization for internists 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8775e964819085c0ff5afea35f0e completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa0b00c8190aab3e475e19c3276 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.