Triple

T23133180
Position Surface form Disambiguated ID Type / Status
Subject Archduchess Maria Josepha of Austria E577233 entity
Predicate notableChild P367 FINISHED
Object Maria Amalia, Queen of Spain
Maria Amalia, Queen of Spain, was an 18th-century Bourbon consort and Habsburg archduchess who became queen through her marriage to King Charles III of Spain.
E1578733 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: Maria Amalia, Queen of Spain | Statement: [Archduchess Maria Josepha of Austria, notableChild, Maria Amalia, Queen of Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Amalia, Queen of Spain
Context triple: [Archduchess Maria Josepha of Austria, notableChild, Maria Amalia, Queen of Spain]
  • A. Queen Maria Christina of Spain
    Queen Maria Christina of Spain was a 19th-century Spanish queen consort and regent, known for governing on behalf of her daughter Isabella II during a turbulent period of political upheaval and civil conflict.
  • B. Maria Teresa Rafaela of Spain
    Maria Teresa Rafaela of Spain was an 18th-century Spanish infanta who became Dauphine of France through her marriage to Louis, Dauphin of France, son of King Louis XV.
  • C. María de las Mercedes, Queen of Spain
    María de las Mercedes, Queen of Spain, was the first wife of King Alfonso XII whose brief reign as queen consort ended with her early death, making her a romantic and tragic figure in Spanish history.
  • D. Mariana Victoria of Spain
    Mariana Victoria of Spain was an 18th-century Spanish infanta and queen consort of Portugal, known for her political influence and role in strengthening Iberian dynastic ties.
  • E. Maria Anna of Austria, Queen of Spain
    Maria Anna of Austria, Queen of Spain, was a 17th-century Habsburg archduchess who became queen consort of Spain through her marriage to King Philip III and played a significant role in dynastic alliances between the Austrian and Spanish branches of the Habsburgs.
  • 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: Maria Amalia, Queen of Spain
Triple: [Archduchess Maria Josepha of Austria, notableChild, Maria Amalia, Queen of Spain]
Generated description
Maria Amalia, Queen of Spain, was an 18th-century Bourbon consort and Habsburg archduchess who became queen through her marriage to King Charles III of Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria Amalia, Queen of Spain
Target entity description: Maria Amalia, Queen of Spain, was an 18th-century Bourbon consort and Habsburg archduchess who became queen through her marriage to King Charles III of Spain.
  • A. Queen Maria Christina of Spain
    Queen Maria Christina of Spain was a 19th-century Spanish queen consort and regent, known for governing on behalf of her daughter Isabella II during a turbulent period of political upheaval and civil conflict.
  • B. Maria Teresa Rafaela of Spain
    Maria Teresa Rafaela of Spain was an 18th-century Spanish infanta who became Dauphine of France through her marriage to Louis, Dauphin of France, son of King Louis XV.
  • C. María de las Mercedes, Queen of Spain
    María de las Mercedes, Queen of Spain, was the first wife of King Alfonso XII whose brief reign as queen consort ended with her early death, making her a romantic and tragic figure in Spanish history.
  • D. Mariana Victoria of Spain
    Mariana Victoria of Spain was an 18th-century Spanish infanta and queen consort of Portugal, known for her political influence and role in strengthening Iberian dynastic ties.
  • E. Maria Anna of Austria, Queen of Spain
    Maria Anna of Austria, Queen of Spain, was a 17th-century Habsburg archduchess who became queen consort of Spain through her marriage to King Philip III and played a significant role in dynastic alliances between the Austrian and Spanish branches of the Habsburgs.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e89cce881908727a94dbc00e031 completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f3b80dc8190b5bcf3946570c200 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4 p.m.