Triple

T19297771
Position Surface form Disambiguated ID Type / Status
Subject Isabella of Aragon, Countess of Urgell E482611 entity
Predicate givenName P17 FINISHED
Object Isabella
Isabella was a medieval noblewoman who held the title of Countess of Urgell in the Crown of Aragon.
E1369016 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 Aragon, Countess of Urgell, givenName, Isabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabella
Context triple: [Isabella of Aragon, Countess of Urgell, givenName, Isabella]
  • A. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • B. Isabella
    Isabella is the given name of Mrs Beeton, the famed 19th-century English author of the influential household management guide "Mrs Beeton's Book of Household Management."
  • C. Isabella
    Isabella is a devout and principled novice nun in Shakespeare's play "Measure for Measure," whose moral integrity is tested by corrupt authority.
  • D. Isabella
    Isabella is the given name of Lady Gregory, the influential Irish dramatist, folklorist, and co-founder of Dublin’s Abbey Theatre.
  • E. Isabella
    Isabella was a 15th-century Portuguese infanta who became Queen of Castile through her marriage to King John II.
  • 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 Aragon, Countess of Urgell, givenName, Isabella]
Generated description
Isabella was a medieval noblewoman who held the title of Countess of Urgell in the Crown of Aragon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isabella
Target entity description: Isabella was a medieval noblewoman who held the title of Countess of Urgell in the Crown of Aragon.
  • A. Isabella
    Isabella was a 15th-century noblewoman who held the title of Duchess of Coimbra in the Kingdom of Portugal.
  • B. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • C. Isabella
    Isabella was a medieval European queen consort, notably Isabella of France who became Queen of England as the wife of Edward II and played a key role in his overthrow.
  • D. Isabella
    Isabella of Burgundy was a 15th-century duchess consort of Burgundy, known for her political influence and role in the Burgundian court during the late Middle Ages.
  • E. Isabella
    Isabella was a Portuguese noblewoman of the House of Braganza who held the title of Duchess of Guimarães 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc86f8648190920d122bb141c6e5 completed April 20, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07145350108190b99022e887a4193f completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a071539637081909eb54bc2553c47b9 completed May 15, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_6a07161b27e4819088745c7f1c169416 completed May 15, 2026, 12:48 p.m.
Created at: April 10, 2026, 1:31 p.m.