Triple

T19918137
Position Surface form Disambiguated ID Type / Status
Subject Lauren Beukes E478717 entity
Predicate familyName P18 FINISHED
Object Beukes 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: Beukes | Statement: [Lauren Beukes, familyName, Beukes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beukes
Context triple: [Lauren Beukes, familyName, Beukes]
  • A. Beukes chosen
    Beukes is a surname most notably associated with South African writer Lauren Beukes, known for her speculative and genre-bending fiction.
  • B. De Rust
    De Rust is a small rural town in South Africa’s Western Cape, known as a gateway between the Klein Karoo and the Garden Route and noted for its scenic surroundings and historic character.
  • C. Koppies
    Koppies is a small town in South Africa’s Free State province, known for its surrounding agricultural lands and proximity to the Koppies Dam and nature reserve.
  • D. Dukelsky
    Dukelsky is the original Russian surname of composer and songwriter Vernon Duke, known for classic American standards such as "April in Paris" and "Autumn in New York."
  • E. Zeerust
    Zeerust is a small town in South Africa’s North West Province, known as an agricultural and commercial center close to the Botswana border.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c3d990819089386d9f30323e8c completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.