Triple

T19681399
Position Surface form Disambiguated ID Type / Status
Subject Georgina E472597 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Georgína
Georgína is a feminine given name, commonly used in various European languages as a variant of Georgina.
 E1389678 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: Georgína | Statement: [Georgina, hasAlternativeSpelling, Georgína]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georgína
Context triple: [Georgina, hasAlternativeSpelling, Georgína]
  • A. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • B. Evgenia
    Evgenia is a feminine given name commonly used in Slavic and Greek cultures, derived from the Greek name Eugenia meaning "well-born" or "noble."
  • C. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • D. Eugénia
    Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
  • E. Georgievna
    Georgievna is the Russian-style patronymic indicating that Princess Alexandra of Greece and Denmark was the daughter of King George.
  • 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: Georgína
Triple: [Georgina, hasAlternativeSpelling, Georgína]
Generated description
Georgína is a feminine given name, commonly used in various European languages as a variant of Georgina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georgína
Target entity description: Georgína is a feminine given name, commonly used in various European languages as a variant of Georgina.
  • A. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • B. Evgenia
    Evgenia is a feminine given name commonly used in Slavic and Greek cultures, derived from the Greek name Eugenia meaning "well-born" or "noble."
  • C. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • D. Eugénia
    Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
  • E. Georgievna
    Georgievna is the Russian-style patronymic indicating that Princess Alexandra of Greece and Denmark was the daughter of King George.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787c6bd708190a3693bd3925ac20f completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a07936634a08190a5e90b42f0b34b23 completed May 15, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0793efdfc08190a2ef81a86ca698c2 completed May 15, 2026, 9:45 p.m.
Created at: April 10, 2026, 1:45 p.m.