Triple

T16288507
Position Surface form Disambiguated ID Type / Status
Subject Paul du Feu E395452 entity
Predicate spouse P13 FINISHED
Object Germaine Greer E290615 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: Germaine Greer | Statement: [Paul du Feu, spouse, Germaine Greer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germaine Greer
Context triple: [Paul du Feu, spouse, Germaine Greer]
  • A. Germaine Greer chosen
    Germaine Greer is an Australian-born writer, academic, and prominent second-wave feminist best known for her influential and controversial work "The Female Eunuch."
  • B. Joan Scott
    Joan Scott was the wife of British statesman and former Prime Minister George Canning, known primarily for her role within this prominent political family in early 19th-century Britain.
  • C. Rosemary Leith
    Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
  • D. Elizabeth Greer
    Elizabeth Greer is a British actress known for her work in film, television, and theatre.
  • E. May Young
    May Young is the central character in Ali Smith's novel "There But For The," around whose unexpected, prolonged stay at a dinner party the story's events and themes unfold.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e249165af881908ce44c4517c93c12 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.