Triple

T3219721
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Braun E67480 entity
Predicate spouse P13 FINISHED
Object Franziska Braun
Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
 E359884 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: Franziska Braun | Statement: [Friedrich Braun, spouse, Franziska Braun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franziska Braun
Context triple: [Friedrich Braun, spouse, Franziska Braun]
  • A. Luisa Neubauer
    Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
  • B. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • C. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • D. Nena von Schlebrügge
    Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
  • E. Felicitas Radke
    Felicitas Radke was the wife of renowned German actor Conrad Veidt, known for her marriage to this prominent figure of early 20th-century cinema.
  • 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: Franziska Braun
Triple: [Friedrich Braun, spouse, Franziska Braun]
Generated description
Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franziska Braun
Target entity description: Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
  • A. Luisa Neubauer
    Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
  • B. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • C. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • D. Nena von Schlebrügge
    Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
  • E. Felicitas Radke
    Felicitas Radke was the wife of renowned German actor Conrad Veidt, known for her marriage to this prominent figure of early 20th-century cinema.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ef2c88190ab89e3217438a2bf completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36093ae9081909f6e63b1efcb9fbb completed March 13, 2026, 12:55 a.m.
NEDg Description generation batch_69b361a207488190b565fa079da573ed completed March 13, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b362586a008190b0d54e5cb38845e3 completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:08 p.m.