Triple

T3139766
Position Surface form Disambiguated ID Type / Status
Subject Linda Perry E65615 entity
Predicate name P16 FINISHED
Object Linda Perry E65615 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: Linda Perry | Statement: [Linda Perry, name, Linda Perry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Perry
Context triple: [Linda Perry, name, Linda Perry]
  • A. Linda Perry chosen
    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.
  • B. Kara DioGuardi
    Kara DioGuardi is an American songwriter, record producer, and music executive known for crafting hits for numerous pop artists and serving as a judge on "American Idol."
  • C. Aimee Mann
    Aimee Mann is an American singer-songwriter and bassist known for her introspective lyrics, melodic pop-rock style, and acclaimed work on the "Magnolia" film soundtrack.
  • D. 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.
  • E. Mary Lou Jepsen
    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.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57743e08190a1069c62e32f1bd4 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e11c508190b69c16dfb5313fc2 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:05 p.m.