Triple

T20618871
Position Surface form Disambiguated ID Type / Status
Subject Sweet Country E506644 entity
Predicate starring P1507 FINISHED
Object Natassia Gorey-Furber
Natassia Gorey-Furber is an Indigenous Australian actress best known for her role in the acclaimed outback Western drama film "Sweet Country."
E1440802 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: Natassia Gorey-Furber | Statement: [Sweet Country, starring, Natassia Gorey-Furber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natassia Gorey-Furber
Context triple: [Sweet Country, starring, Natassia Gorey-Furber]
  • A. Beatrice Selinger
    Beatrice Selinger was the wife of American silent film comedian Charley Chase.
  • B. Joan Wilder
    Joan Wilder is a shy, romantic adventure novelist who is thrust into a real-life treasure hunt in the film "Romancing the Stone."
  • C. Audrey Geisel
    Audrey Geisel was an American philanthropist and the widow of Dr. Seuss, known for overseeing and producing adaptations of his works and managing his literary estate.
  • D. Louise Burton
    Louise Burton is best known as the wife of English actor Daniel Mays.
  • E. Doreen Alderman
    Doreen Alderman is an American former dancer and actress best known for her past marriage to actor Kelsey Grammer.
  • 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: Natassia Gorey-Furber
Triple: [Sweet Country, starring, Natassia Gorey-Furber]
Generated description
Natassia Gorey-Furber is an Indigenous Australian actress best known for her role in the acclaimed outback Western drama film "Sweet Country."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Natassia Gorey-Furber
Target entity description: Natassia Gorey-Furber is an Indigenous Australian actress best known for her role in the acclaimed outback Western drama film "Sweet Country."
  • A. Beatrice Selinger
    Beatrice Selinger was the wife of American silent film comedian Charley Chase.
  • B. Joan Wilder
    Joan Wilder is a shy, romantic adventure novelist who is thrust into a real-life treasure hunt in the film "Romancing the Stone."
  • C. Audrey Geisel
    Audrey Geisel was an American philanthropist and the widow of Dr. Seuss, known for overseeing and producing adaptations of his works and managing his literary estate.
  • D. Louise Burton
    Louise Burton is best known as the wife of English actor Daniel Mays.
  • E. Doreen Alderman
    Doreen Alderman is an American former dancer and actress best known for her past marriage to actor Kelsey Grammer.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abdf9d7c8190969247a4ae55b781 completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1588a881909f7197bfc38d9e21 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bba2e85881909ae887fc5bc3121f completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc410f008190b00bf4956d591176 completed May 16, 2026, 6:49 p.m.
Created at: April 16, 2026, 11:41 a.m.