Triple

T1179701
Position Surface form Disambiguated ID Type / Status
Subject Princess Amelia of Great Britain E25107 entity
Predicate givenName P17 FINISHED
Object Amelia
Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
 E134547 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: Amelia | Statement: [Princess Amelia of Great Britain, givenName, Amelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amelia
Context triple: [Princess Amelia of Great Britain, givenName, Amelia]
  • A. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Juliana
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • D. Amelia Earhart
    Amelia Earhart was a pioneering American aviator and author who became the first woman to fly solo across the Atlantic Ocean and disappeared mysteriously during an attempted around-the-world flight in 1937.
  • E. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • 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: Amelia
Triple: [Princess Amelia of Great Britain, givenName, Amelia]
Generated description
Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amelia
Target entity description: Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • A. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Juliana
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • D. Amelia Earhart
    Amelia Earhart was a pioneering American aviator and author who became the first woman to fly solo across the Atlantic Ocean and disappeared mysteriously during an attempted around-the-world flight in 1937.
  • E. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd1226fc819083d526ecd22af8ef completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f1f1c188190a96f5718c4e7d59d completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6f9c0da48190b8d5615ba582366c completed March 7, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac7009b52c8190a6f6962cf60de92d completed March 7, 2026, 6:35 p.m.
Created at: March 1, 2026, 7:45 p.m.