Triple

T3062055
Position Surface form Disambiguated ID Type / Status
Subject Jepsen E62016 entity
Predicate hasNotableBearer P458 FINISHED
Object Mary Lou Jepsen E10352 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: Mary Lou Jepsen | Statement: [Jepsen, hasNotableBearer, Mary Lou Jepsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Lou Jepsen
Context triple: [Jepsen, hasNotableBearer, Mary Lou Jepsen]
  • A. Mary Lou Jepsen chosen
    Mary Lou Jepsen is an American engineer, inventor, and entrepreneur known for her pioneering work in display technology and for co-founding the low-cost computing initiative One Laptop per Child.
  • B. Linda Perry
    Linda Perry is an American singer-songwriter and record producer best known for her work with 4 Non Blondes and for writing and producing hit songs for artists such as Pink, Christina Aguilera, and Gwen Stefani.
  • C. Ann Rork
    Ann Rork was an American silent film actress and socialite best known for her roles in 1920s cinema and her later marriage to oil tycoon J. Paul Getty.
  • D. Mindy Cohn
    Mindy Cohn is an American actress best known for playing Natalie Green on the classic television sitcom "The Facts of Life."
  • E. Charlotte Le Bon
    Charlotte Le Bon is a Canadian actress and former model known for her roles in international films such as "The Walk" and "The Hundred-Foot Journey."
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9f33d88190bd481cb7f18ceb91 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0e757481908eb1d9693474c49d completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.