Triple

T2285148
Position Surface form Disambiguated ID Type / Status
Subject Maye Musk E51371 entity
Predicate birthName P65 FINISHED
Object Maye Haldeman E53849 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: Maye Haldeman | Statement: [Maye Musk, birthName, Maye Haldeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maye Haldeman
Context triple: [Maye Musk, birthName, Maye Haldeman]
  • A. Maye Haldeman chosen
    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.
  • B. Sandra Henderson
    Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
  • C. Amelia Kuttner
    Amelia Kuttner is a key character in the neo-noir action-comedy film "The Nice Guys," whose disappearance drives the movie’s central investigation.
  • 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. Janet Asimov
    Janet Asimov was an American psychiatrist, psychoanalyst, and science fiction writer who collaborated with and was married to author Isaac Asimov.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc245dd208190b13c5f5d05aa6990 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1759b081908842f7ad189994ff completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.