Triple

T23036671
Position Surface form Disambiguated ID Type / Status
Subject Varian Fry E573614 entity
Predicate helpedRescue P33868 FINISHED
Object Heinrich Mann NE NERFINISHED

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: Heinrich Mann | Statement: [Varian Fry, helpedRescue, Heinrich Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinrich Mann
Context triple: [Varian Fry, helpedRescue, Heinrich Mann]
  • A. Heinrich Mann chosen
    Heinrich Mann was a prominent German novelist and essayist known for his socially critical works and opposition to authoritarianism in the early 20th century.
  • B. Thomas Mann and Heinrich Mann
    Thomas Mann and Heinrich Mann were prominent German novelist brothers whose works critically explored society, politics, and the bourgeois milieu in the late 19th and early 20th centuries.
  • C. Klaus Mann
    Klaus Mann was a German writer and outspoken anti-fascist intellectual, best known for his novel "Mephisto" and as a prominent member of the literary Mann family.
  • D. Alfred Döblin
    Alfred Döblin was a German novelist and physician best known for his modernist masterpiece "Berlin Alexanderplatz," which made him a central figure of Weimar-era literature.
  • E. 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."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850fe5348190b42259595d82cff4 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.