Triple

T4902771
Position Surface form Disambiguated ID Type / Status
Subject Lauren Beukes E109840 entity
Predicate name P16 FINISHED
Object Lauren Beukes E109840 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: Lauren Beukes | Statement: [Lauren Beukes, name, Lauren Beukes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Beukes
Context triple: [Lauren Beukes, name, Lauren Beukes]
  • A. Lauren Beukes chosen
    Lauren Beukes is a South African author known for her genre-blending speculative fiction novels such as "Zoo City" and "The Shining Girls."
  • B. Simon Rich
    Simon Rich is an American humorist, novelist, and television writer known for his work on Saturday Night Live, his comedic short stories, and creating the series "Man Seeking Woman."
  • C. Susanna Bennett
    Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
  • D. Valeria Wasserman
    Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
  • E. Gail Carriger
    Gail Carriger is a bestselling American author known for her humorous steampunk and paranormal romance novels, particularly the Parasol Protectorate series.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4f1fd4819092812504c3529cad completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fd6ce008190ae7897bc58a2e786 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.