Triple

T1878074
Position Surface form Disambiguated ID Type / Status
Subject Luise E39188 entity
Predicate hasDiminutive P456 FINISHED
Object Liesl E209356 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: Liesl | Statement: [Luise, hasDiminutive, Liesl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liesl
Context triple: [Luise, hasDiminutive, Liesl]
  • A. Liesl chosen
    Liesl is a feminine given name, commonly used as a diminutive of names like Elisabeth in German-speaking regions.
  • B. Grete
    Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
  • C. Liesl Tommy
    Liesl Tommy is a South African-born theatre and film director known for her work on stage and her feature film directorial debut with the Aretha Franklin biopic "Respect."
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae44f6c8190a5924609863030a4 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.