Triple

T2853100
Position Surface form Disambiguated ID Type / Status
Subject Britta Ernst E63136 entity
Predicate givenName P17 FINISHED
Object Britta
Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
 E303772 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: Britta | Statement: [Britta Ernst, givenName, Britta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Britta
Context triple: [Britta Ernst, givenName, Britta]
  • A. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • B. Ebeko
    Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
  • C. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • D. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • E. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • 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: Britta
Triple: [Britta Ernst, givenName, Britta]
Generated description
Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Britta
Target entity description: Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • A. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • B. Ebeko
    Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
  • C. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • D. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • E. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5e043c8190ac82112abce7262a completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe98243508190837853fa2c08e44a completed March 10, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69b008b519bc81908768fba43c5c8d5e completed March 10, 2026, 12:04 p.m.
Created at: March 6, 2026, 10:02 p.m.