Triple

T18470705
Position Surface form Disambiguated ID Type / Status
Subject Nys E451289 entity
Predicate hasNotableBearer P458 FINISHED
Object Maria Nys 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: Maria Nys | Statement: [Nys, hasNotableBearer, Maria Nys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Nys
Context triple: [Nys, hasNotableBearer, Maria Nys]
  • A. Maria Nys chosen
    Maria Nys was a Belgian-born woman best known as the first wife of English writer Aldous Huxley and a central figure in his personal and social life.
  • B. Eeltije Vinck
    Eeltije Vinck was the wife of Dutch Golden Age landscape painter Meindert Hobbema.
  • C. Mary Marckx
    Mary Marckx is a character in the sports drama film "Without Limits," which portrays the life and career of American distance runner Steve Prefontaine.
  • D. Sophie Wilmès
    Sophie Wilmès is a Belgian liberal politician who became the country’s first female prime minister, leading the federal government during the initial phase of the COVID-19 pandemic.
  • E. Celine Buckens
    Celine Buckens is a Belgian-born British actress best known for her breakout role in Steven Spielberg’s film "War Horse" and subsequent work in television dramas.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5305f428c81909980bd30d150e7dd completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.