Triple

T21236715
Position Surface form Disambiguated ID Type / Status
Subject Maria of Aragon E523363 entity
Predicate givenName P17 FINISHED
Object Maria
Maria of Aragon was a late 15th- to early 16th-century Spanish princess and Queen consort of Portugal from the House of Trastámara.
E1473916 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 | Statement: [Maria of Aragon, givenName, Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria
Context triple: [Maria of Aragon, givenName, Maria]
  • A. Maria
    Maria is a character in the period drama film "Stage Beauty," which explores gender roles and the world of 17th-century English theatre.
  • B. Maria
    Maria is a coastal municipality on Siquijor Island in the Philippines known for its rural communities and scenic seaside landscapes.
  • C. Maria
    Maria Vladimirovna Dolgorukova was a Russian noblewoman from the prominent Dolgorukov family, known historically as the first wife of Tsar Michael I of Russia.
  • D. Maria
    Maria is the given name of Grand Duchess Maria Alexandrovna of Russia, a 19th-century Russian imperial princess who became Duchess of Edinburgh through marriage into the British royal family.
  • E. Maria
    Maria is the given name of Maria Ludovika of Austria-Este, an Empress consort of Austria in the early 19th century.
  • 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
Triple: [Maria of Aragon, givenName, Maria]
Generated description
Maria of Aragon was a late 15th- to early 16th-century Spanish princess and Queen consort of Portugal from the House of Trastámara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria
Target entity description: Maria of Aragon was a late 15th- to early 16th-century Spanish princess and Queen consort of Portugal from the House of Trastámara.
  • A. Maria
    Maria of Castile was a 15th-century Queen of Aragon, known for serving as regent during her husband King Alfonso V’s absences and for her political influence in the Crown of Aragon.
  • B. Maria
    Maria of Portugal was a Portuguese infanta (princess) from the royal House of Aviz.
  • C. Maria
    Maria of Spain was an Infanta of Spain, the daughter of King Philip II and his fourth wife Anna of Austria, known primarily for her role within the Habsburg dynastic network in late 16th-century Europe.
  • D. Maria
    Maria of Mangup was a 15th-century Crimean princess from the Principality of Theodoro who became the last queen consort of the Empire of Trebizond.
  • E. Maria
    Maria of Spain was a Spanish royal figure known primarily as a member of the House of Bourbon in the 18th century.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735202c7481909c642ddaafb40671 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986edbed88190885fc8cb47b9739a completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a098915325c8190bb956070b2714c95 completed May 17, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_6a098a24f1948190aada13777f829700 completed May 17, 2026, 9:28 a.m.
Created at: April 16, 2026, 3:46 p.m.