Triple

T18149879
Position Surface form Disambiguated ID Type / Status
Subject Paul Weller E434476 entity
Predicate influenced P9 FINISHED
Object Blur NE NERFINISHED

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: Blur | Statement: [Paul Weller, influenced, Blur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blur
Context triple: [Paul Weller, influenced, Blur]
  • A. Blur chosen
    Blur is an English rock band central to the 1990s Britpop movement, known for their eclectic sound and socially observant lyrics.
  • B. Blur Building
    Blur Building is an experimental, fog-enshrouded pavilion on Lake Neuchâtel in Switzerland, created by the architecture firm Diller Scofidio + Renfro for Expo.02 as a landmark of media and conceptual architecture.
  • C. Iblur
    Iblur is a rapidly developing residential and commercial neighborhood in southeastern Bangalore, located along the Outer Ring Road and close to major IT hubs.
  • D. Blurp
    Blurp is a comedic sea monster character from the 1970s children's television series "Sigmund and the Sea Monsters."
  • E. Circle of Confusion
    Circle of Confusion is a management and production company known for developing and producing genre-focused film and television projects, including the hit series "The Walking Dead."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3812e8819097f025476d5c6a1d completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.