Triple

T22767382
Position Surface form Disambiguated ID Type / Status
Subject Adele Georgiana Gianopoulos E563163 entity
Predicate middleName P143 FINISHED
Object Georgiana NE NERFINISHED

How this triple was built (2 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: Georgiana | Statement: [Adele Georgiana Gianopoulos, middleName, Georgiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgiana
Context triple: [Adele Georgiana Gianopoulos, middleName, Georgiana]
  • A. Georgiana chosen
    Georgiana is a feminine given name of Greek origin, often associated with elegance and historically borne by various notable women in British and European society.
  • B. Georgiana Drew
    Georgiana Drew was a 19th-century American stage actress and member of the prominent Barrymore theatrical family.
  • C. Georgina
    Georgina is a lakeside town in Ontario, Canada, known for its recreational waterfront communities and proximity to Lake Simcoe.
  • D. Georgina
    Georgina is a feminine given name used in various English-speaking and European countries, often considered a variant of Georgia or the feminine form of George.
  • E. Georgina Henry
    Georgina Henry was a British journalist and editor best known for her influential work at The Guardian, where she helped shape its digital and comment platforms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.