Triple

T2948017
Position Surface form Disambiguated ID Type / Status
Subject Ken Howery E79548 entity
Predicate associatedWith P37 FINISHED
Object Elon Musk E764 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: Elon Musk | Statement: [Ken Howery, associatedWith, Elon Musk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elon Musk
Context triple: [Ken Howery, associatedWith, Elon Musk]
  • A. Elon Musk chosen
    Elon Musk is a billionaire entrepreneur and engineer best known for founding SpaceX, leading Tesla, and driving innovation in electric vehicles, space exploration, and other frontier technologies.
  • B. Errol Musk
    Errol Musk is a South African electromechanical engineer, pilot, and property developer best known as the controversial father of entrepreneur Elon Musk.
  • C. Musk
    Musk is a prominent surname most widely associated with entrepreneur Elon Musk and his family, including businessman and restaurateur Kimbal Musk.
  • D. Tosca Musk
    Tosca Musk is a South African–Canadian filmmaker and producer, best known as the co-founder and CEO of the romance-focused streaming platform Passionflix.
  • E. Maye Musk
    Maye Musk is a Canadian-South African model and dietitian who has had a decades-long international modeling career and is the mother of entrepreneur Elon Musk.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108c261e881909fd7800880c0faf1 completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:57 p.m.