Triple

T22556100
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth of Luxembourg E557686 entity
Predicate givenName P17 FINISHED
Object Elizabeth
Elizabeth of Luxembourg was a 15th-century Holy Roman Empress and Queen of Germany, Hungary, and Bohemia, known for her role in European dynastic politics.
E1544614 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: Elizabeth | Statement: [Elizabeth of Luxembourg, givenName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Elizabeth of Luxembourg, givenName, Elizabeth]
  • A. Elizabeth
    Elizabeth is the middle name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
  • B. Elizabeth
    Elizabeth was the birth name of Princess Elizabeth of England, who later became Queen Elizabeth I, the influential Tudor monarch of England.
  • C. Elizabeth
    Elizabeth is the birth name of American actress Beanie Feldstein, known for her roles in films like "Booksmart" and "Lady Bird."
  • D. Elizabeth
    Elizabeth is a fictional character in John Steinbeck’s novel "To a God Unknown," playing a key role in the protagonist’s family and the story’s exploration of faith, land, and sacrifice.
  • E. Elizabeth
    Elizabeth is the given name of Elizabeth Bacon Custer, an American author and the widow of U.S. Army officer George Armstrong Custer.
  • 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: Elizabeth
Triple: [Elizabeth of Luxembourg, givenName, Elizabeth]
Generated description
Elizabeth of Luxembourg was a 15th-century Holy Roman Empress and Queen of Germany, Hungary, and Bohemia, known for her role in European dynastic politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Target entity description: Elizabeth of Luxembourg was a 15th-century Holy Roman Empress and Queen of Germany, Hungary, and Bohemia, known for her role in European dynastic politics.
  • A. Elizabeth
    Elizabeth was a medieval noblewoman who held the title of Duchess of Bavaria and was known as Elizabeth of Hungary.
  • B. Elizabeth
    Elizabeth was a 16th-century Queen of France, born an Archduchess of Austria from the Habsburg dynasty and known for her politically significant marriage to King Charles IX.
  • C. Elizabeth
    Elizabeth of Aragon, also known as Saint Elizabeth of Portugal, was a 13th–14th century queen consort renowned for her piety, charity, and role as a peacemaker in dynastic conflicts.
  • D. Elizabeth
    Elizabeth was a German noblewoman who held the title of Landgravine of Hesse-Homburg.
  • E. Elizabeth
    Elizabeth was the given name of Elizabeth Richeza of Poland, a medieval Polish princess and queen consort in Central Europe.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7a4a3c81908fc87f48b6dcbbf7 completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d4dffd08190a506137e1bac366a completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b3f078d7c8190ac84e8bf1726115f completed May 18, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 16, 2026, 8:52 p.m.