Triple

T6754939
Position Surface form Disambiguated ID Type / Status
Subject Hermann Fegelein E154429 entity
Predicate spouse P13 FINISHED
Object Gretl Braun E364366 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: Gretl Braun | Statement: [Hermann Fegelein, spouse, Gretl Braun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gretl Braun
Context triple: [Hermann Fegelein, spouse, Gretl Braun]
  • A. Gretl Braun chosen
    Gretl Braun was the youngest sister of Eva Braun and a member of Adolf Hitler’s inner social circle in Nazi Germany.
  • B. Ruth Gikow
    Ruth Gikow was a Russian-born American painter and muralist known for her socially conscious, figurative depictions of urban life in mid-20th-century New York City.
  • C. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • D. Franziska Braun
    Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
  • E. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f465388190858207ca4c48f18d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a78feb8819084314c2ae043d289 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:11 p.m.