Triple

T7212556
Position Surface form Disambiguated ID Type / Status
Subject Gotthard Heinrici E149441 entity
Predicate spouse P13 FINISHED
Object Gertrud Heinrici E149441 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: Gertrud Heinrici | Statement: [Gotthard Heinrici, spouse, Gertrud Heinrici]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gertrud Heinrici
Context triple: [Gotthard Heinrici, spouse, Gertrud Heinrici]
  • A. Gertrud Heinrici chosen
    Gertrud Heinrici was the wife of German Wehrmacht Colonel General Gotthard Heinrici and a member of the German aristocracy during the first half of the 20th century.
  • B. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • C. Gertrud Strube
    Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
  • D. Margarethe Lindemann
    Margarethe Lindemann was the wife of Hans Luther and the mother of the Protestant Reformer Martin Luther.
  • E. Albertina Rasch
    Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98b61448190add3624a818fdc7b completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbf5edbc81908cb40a5253e98b68 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:53 p.m.