Triple

T10028172
Position Surface form Disambiguated ID Type / Status
Subject Ilse Koch E204783 entity
Predicate givenName P17 FINISHED
Object Ilse E344536 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: Ilse | Statement: [Ilse Koch, givenName, Ilse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilse
Context triple: [Ilse Koch, givenName, Ilse]
  • A. Ilse chosen
    Ilse is a feminine given name of German origin, commonly used in German-speaking countries and derived from Elisabeth.
  • B. Ilse von Alpenheim
    Ilse von Alpenheim is an Austrian classical pianist known for her interpretations of 18th- and 19th-century repertoire and her recordings, particularly of Haydn, as well as for her marriage to conductor Antal Doráti.
  • C. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2822bca308190ad2fad82653c6e74 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.