Triple

T18171575
Position Surface form Disambiguated ID Type / Status
Subject Elon Musk E435038 entity
Predicate relativeOf P367 FINISHED
Object Kaye Haldeman 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: Kaye Haldeman | Statement: [Elon Musk, relativeOf, Kaye Haldeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaye Haldeman
Context triple: [Elon Musk, relativeOf, Kaye Haldeman]
  • A. Kaye Haldeman chosen
    Kaye Haldeman is a member of the Haldeman family, known primarily as a child of chiropractor and political activist Joshua Haldeman and a relative of entrepreneur Elon Musk.
  • B. Maye Haldeman
    Maye Haldeman is a Canadian-South African model and dietitian best known as Maye Musk, the mother of entrepreneur Elon Musk and a prominent figure in fashion and nutrition.
  • C. Winnifred Josephine Haldeman
    Winnifred Josephine Haldeman was the wife of Canadian-American chiropractor and political activist Joshua Haldeman and the grandmother of entrepreneur Elon Musk.
  • D. Lynne Haldeman
    Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
  • E. Teresa Nielsen Hayden
    Teresa Nielsen Hayden is an American science fiction editor, writer, and influential blogger known for her work at Tor Books and her role in online fan communities.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56190c8190a3644333f9050a10 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.