Triple

T9081810
Position Surface form Disambiguated ID Type / Status
Subject Elinor Bettina Frost E217645 entity
Predicate givenName P17 FINISHED
Object Bettina E36497 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: Bettina | Statement: [Elinor Bettina Frost, givenName, Bettina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bettina
Context triple: [Elinor Bettina Frost, givenName, Bettina]
  • A. Bettina chosen
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • B. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • C. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • D. Elfriede
    Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
  • E. Anna Bertha Ludwig
    Anna Bertha Ludwig was the wife of physicist Wilhelm Röntgen, who supported him throughout his pioneering work on X-rays.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9608a82481908918821884ba5796 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe28ae548190924cc7bbf453f3f3 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.