Triple

T146411
Position Surface form Disambiguated ID Type / Status
Subject xAI E3339 entity
Predicate employer P7 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: [xAI, employer, Elon Musk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elon Musk
Context triple: [xAI, employer, 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. 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.
  • D. Peter Thiel
    Peter Thiel is a German-American entrepreneur, venture capitalist, and political activist best known as a co-founder of PayPal and an early investor in Facebook.
  • E. Sam Altman
    Sam Altman is an American entrepreneur and investor best known as the former president of Y Combinator and a leading figure in the development and governance of artificial intelligence.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257eba6188190a3cf99c91bf3038f completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34418bb848190ac26adef7f990f93 completed Feb. 28, 2026, 7:38 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.