Triple

T2387976
Position Surface form Disambiguated ID Type / Status
Subject Catrin E48871 entity
Predicate hasVariant P455 FINISHED
Object Katrin E58213 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: Katrin | Statement: [Catrin, hasVariant, Katrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katrin
Context triple: [Catrin, hasVariant, Katrin]
  • A. Katrin chosen
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • B. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • C. Britta Ernst
    Britta Ernst is a German politician of the Social Democratic Party (SPD) who has served as a state minister for education in several German states and is married to Chancellor Olaf Scholz.
  • D. Rebekka Vaark
    Rebekka Vaark is a central character in Toni Morrison’s novel "A Mercy," depicted as a European immigrant wife navigating hardship, loss, and the complexities of early American colonial life on a remote farm.
  • E. Johanna Herting
    Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7db4ee08190a5c114e42bc46f70 completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf36dcac8190a17d9af8cd1660c4 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.