Triple

T8889807
Position Surface form Disambiguated ID Type / Status
Subject Circus E211634 entity
Predicate hasTrack P3284 FINISHED
Object Blur E400752 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: Blur | Statement: [Circus, hasTrack, Blur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blur
Context triple: [Circus, hasTrack, 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. 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."
  • C. Blurryface
    Blurryface is the 2015 studio album by American musical duo Twenty One Pilots, known for its genre-blending sound and themes of anxiety and identity.
  • D. Foggy
    Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
  • E. Karmir Blur
    Karmir Blur is an important archaeological site in Armenia containing the remains of an ancient Urartian fortress and settlement.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618f94108190b03248832bfe68a9 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabe955e08190a8d61cfaa2d52731 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.