Triple

T6997035
Position Surface form Disambiguated ID Type / Status
Subject Magda Goebbels E162241 entity
Predicate familyName P18 FINISHED
Object Quandt
Quandt is the surname of a prominent German industrialist family closely tied to major companies like BMW and historically associated with Magda Goebbels.
 E635258 NE FINISHED

How this triple was built (4 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: Quandt | Statement: [Magda Goebbels, familyName, Quandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quandt
Context triple: [Magda Goebbels, familyName, Quandt]
  • A. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • B. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • C. Quinet
    Quinet was a notable philhellene recognized for his support of Greek independence and culture.
  • D. Wolffsohn
    Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
  • E. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quandt
Triple: [Magda Goebbels, familyName, Quandt]
Generated description
Quandt is the surname of a prominent German industrialist family closely tied to major companies like BMW and historically associated with Magda Goebbels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quandt
Target entity description: Quandt is the surname of a prominent German industrialist family closely tied to major companies like BMW and historically associated with Magda Goebbels.
  • A. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • B. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • C. Quinet
    Quinet was a notable philhellene recognized for his support of Greek independence and culture.
  • D. Wolffsohn
    Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
  • E. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • F. None of above. chosen

Provenance (5 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2465908190b69454f6215365b0 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76b67fc48819088ba80f1f84aa2f0 completed March 28, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69c76c46f9308190a7a1f0aa5284cef4 completed March 28, 2026, 5:51 a.m.
Created at: March 27, 2026, 2:32 p.m.