Triple

T22839389
Position Surface form Disambiguated ID Type / Status
Subject Isabella Brant E566037 entity
Predicate givenName P17 FINISHED
Object Isabella
Isabella is a feminine given name of Spanish and Italian origin, derived from Elizabeth and widely used across many cultures.
E569457 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 Brant, givenName, Isabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabella
Context triple: [Isabella Brant, givenName, Isabella]
  • A. Isabella
    Isabella was a 15th-century Aragonese princess who became Queen of Portugal through her marriage to King Manuel I.
  • B. Isabella
    Isabella was a 15th-century noblewoman who held the title of Duchess of Coimbra in the Kingdom of Portugal.
  • C. Isabella
    Isabella was a 15th-century Portuguese infanta who became Queen of Castile through her marriage to King John II.
  • D. Isabella
    Isabella is a fictional character portrayed by American actress Lexi Underwood.
  • E. Isabella
    Isabella was a powerful late 15th-century queen of Castile who, alongside her husband Ferdinand II of Aragon, completed the Reconquista and sponsored Christopher Columbus’s voyage that led to the European discovery of the Americas.
  • 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 Brant, givenName, Isabella]
Generated description
Isabella is a feminine given name of Spanish and Italian origin, derived from Elizabeth and widely used across many cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isabella
Target entity description: Isabella is a feminine given name of Spanish and Italian origin, derived from Elizabeth and widely used across many cultures.
  • A. Isabella chosen
    Isabella is a feminine given name of Spanish and Italian origin, derived from Elizabeth and widely used across many cultures.
  • B. Isabella
    Isabella is the given name of Anne Isabella Thackeray Ritchie, a 19th-century English novelist and essayist and the daughter of William Makepeace Thackeray.
  • C. Isabella
    Isabella is the given name of Lady Gregory, the influential Irish dramatist, folklorist, and co-founder of Dublin’s Abbey Theatre.
  • 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 15th-century Portuguese infanta who became Queen of Castile through her marriage to King John II.
  • F. None of above.

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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b3aae48190bb2785a223d135a2 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8bb77bc81909c5422f9d73c1e70 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba94752c48190a8892cac5ef862b2 completed May 19, 2026, 12:05 a.m.
Created at: April 17, 2026, 3:35 p.m.