Triple

T15053680
Position Surface form Disambiguated ID Type / Status
Subject Princess Marianne of Prussia E379431 entity
Predicate givenName P17 FINISHED
Object Amalie
Amalie is a given name associated with Princess Marianne of Prussia, a 19th-century Prussian royal.
 E1135402 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: Amalie | Statement: [Princess Marianne of Prussia, givenName, Amalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amalie
Context triple: [Princess Marianne of Prussia, givenName, Amalie]
  • A. Amalie
    Amalie is a motor oil and lubricants brand known for producing automotive and industrial oils.
  • B. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • C. Amalia
    Amalia is a novel by Finnish writer Sylvi Kekkonen, known for its introspective portrayal of women’s inner lives in mid-20th-century Finland.
  • D. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • E. Amalia
    Amalia is a character in Franz Kafka’s unfinished novel "The Castle," known for her defiant act that brings social ostracism upon her family.
  • 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: Amalie
Triple: [Princess Marianne of Prussia, givenName, Amalie]
Generated description
Amalie is a given name associated with Princess Marianne of Prussia, a 19th-century Prussian royal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amalie
Target entity description: Amalie is a given name associated with Princess Marianne of Prussia, a 19th-century Prussian royal.
  • A. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • B. Amalie
    Amalie is a motor oil and lubricants brand known for producing automotive and industrial oils.
  • C. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • D. Amalia
    Amalia is a novel by Finnish writer Sylvi Kekkonen, known for its introspective portrayal of women’s inner lives in mid-20th-century Finland.
  • E. Amalia
    Amalia is a feminine given name of Latin and Germanic origin, often associated with meanings related to work, industriousness, or striving.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bdeee48190949b0fe63eb6a21a completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea79dd1bc8190ae1ac5edad3db9cb completed May 9, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fea83aaff48190af7a7399e40fdf46 completed May 9, 2026, 3:21 a.m.
Created at: April 10, 2026, 3:01 a.m.