Triple

T11817054
Position Surface form Disambiguated ID Type / Status
Subject Julia Mann E281026 entity
Predicate notableRelative P367 FINISHED
Object Heinrich Mann E45470 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: Heinrich Mann | Statement: [Julia Mann, notableRelative, Heinrich Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinrich Mann
Context triple: [Julia Mann, notableRelative, 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 (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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f9e99788190a5a8abb135426038 completed May 1, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:42 p.m.