Triple

T11569740
Position Surface form Disambiguated ID Type / Status
Subject Georgiana Burne-Jones E274353 entity
Predicate givenName P17 FINISHED
Object Georgiana E326337 NE FINISHED

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: [Georgiana Burne-Jones, givenName, Georgiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgiana
Context triple: [Georgiana Burne-Jones, givenName, 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. Letitia
    Letitia is a feminine given name of Latin origin, commonly associated with the meaning "joy" or "happiness."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd543a48190b834abd8e8ae7b65 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef824898e48190abb18307aa917c0c completed April 27, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:37 p.m.