Triple

T2236272
Position Surface form Disambiguated ID Type / Status
Subject Katia Mann E49287 entity
Predicate child P120 FINISHED
Object Erika Mann E44416 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: Erika Mann | Statement: [Katia Mann, child, Erika Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erika Mann
Context triple: [Katia Mann, child, Erika Mann]
  • A. Erika Mann chosen
    Erika Mann was a German actress, writer, and outspoken anti-Nazi political cabaret performer, and the eldest daughter of novelist Thomas Mann.
  • B. 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.
  • C. Hilde Schwab
    Hilde Schwab is a Swiss philanthropist and co-founder of the Schwab Foundation for Social Entrepreneurship, known for her work promoting social innovation and supporting the World Economic Forum’s initiatives.
  • D. Anita Gütermann
    Anita Gütermann was a German heiress from the Gütermann industrial family who became known as the first wife of renowned conductor Herbert von Karajan.
  • E. Elisabeth Mann Borgese
    Elisabeth Mann Borgese was a German-born writer and pioneering advocate for international ocean governance and the law of the sea.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9056833081908dc3a8c74f4fd4c0 completed March 10, 2026, 3:30 a.m.
Created at: March 4, 2026, 7:47 p.m.