Triple

T3820239
Position Surface form Disambiguated ID Type / Status
Subject Mars (TV series) E84352 entity
Predicate notableGuest P10756 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: [Mars (TV series), notableGuest, Elon Musk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elon Musk
Context triple: [Mars (TV series), notableGuest, 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea61a63c819086e16b89d2ea2157 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4998248190b4174dd80a8e790c completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.