Triple

T17142957
Position Surface form Disambiguated ID Type / Status
Subject Isabella of Braganza, Duchess of Guimarães E416015 entity
Predicate givenName P17 FINISHED
Object Isabella
Isabella was a Portuguese noblewoman of the House of Braganza who held the title of Duchess of Guimarães in the 16th century.
E1253189 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: Isabella | Statement: [Isabella of Braganza, Duchess of Guimarães, givenName, Isabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabella
Context triple: [Isabella of Braganza, Duchess of Guimarães, givenName, Isabella]
  • A. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • B. Isabella
    Isabella is the given name of Lady Gregory, the influential Irish dramatist, folklorist, and co-founder of Dublin’s Abbey Theatre.
  • C. Isabella
    Isabella of Portugal was a 16th-century Portuguese noblewoman who became Holy Roman Empress and Queen of Spain as the wife of Emperor Charles V.
  • D. Isabella
    Isabella was a Polish princess of the Jagiellonian dynasty who became Queen consort of Hungary in the 16th century.
  • E. Isabella
    Isabella was a 15th-century noblewoman who held the title of Duchess of Coimbra in the Kingdom of Portugal.
  • 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: Isabella
Triple: [Isabella of Braganza, Duchess of Guimarães, givenName, Isabella]
Generated description
Isabella was a Portuguese noblewoman of the House of Braganza who held the title of Duchess of Guimarães in the 16th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isabella
Target entity description: Isabella was a Portuguese noblewoman of the House of Braganza who held the title of Duchess of Guimarães in the 16th century.
  • A. Isabella
    Isabella was a 15th-century noblewoman who held the title of Duchess of Coimbra in the Kingdom of Portugal.
  • B. Isabella
    Isabella of Portugal was a 16th-century Portuguese noblewoman who became Holy Roman Empress and Queen of Spain as the wife of Emperor Charles V.
  • C. Isabella
    Isabella was a 15th-century Aragonese princess who became Queen of Portugal through her marriage to King Manuel I.
  • D. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • E. Isabella
    Isabella was a Polish princess of the Jagiellonian dynasty who became Queen consort of Hungary in the 16th 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415718c88190834fedae7b01ac69 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a014529e7908190bab3e351cdc78c7c completed May 11, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a014595ca108190ad1587287987fc01 completed May 11, 2026, 2:57 a.m.
Created at: April 10, 2026, 5:36 a.m.