Triple

T2087352
Position Surface form Disambiguated ID Type / Status
Subject Michael Mann E45382 entity
Predicate mother P120 FINISHED
Object Katia Mann E49287 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: Katia Mann | Statement: [Michael Mann, mother, Katia Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katia Mann
Context triple: [Michael Mann, mother, Katia Mann]
  • A. Katia Mann chosen
    Katia Mann was a German intellectual and the wife and close confidante of Nobel Prize–winning author Thomas Mann, known for her significant influence on his life and work.
  • B. Nena von Schlebrügge
    Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
  • C. Gita Langer
    Gita Langer is a person notable enough to be recognized as a prominent bearer of the surname Langer.
  • D. Ingeborg Morath
    Ingeborg Morath was an Austrian-born Magnum Photos photographer renowned for her humanistic, poetic images and extensive work documenting cultures around the world in the mid-20th century.
  • E. 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.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba5641208190b925676b8d80f300 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae893779648190ae0d039c614736c8 completed March 9, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:41 p.m.