Triple

T13059867
Position Surface form Disambiguated ID Type / Status
Subject Hotline Bling E329168 entity
Predicate includedIn P1393 FINISHED
Object Views E329154 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: Views | Statement: [Hotline Bling, includedIn, Views]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Views
Context triple: [Hotline Bling, includedIn, Views]
  • A. Views chosen
    Views is a commercially successful and culturally influential studio album by Canadian rapper and singer Drake, featuring hits like "Hotline Bling" and "One Dance."
  • B. Views (song)
    "Views" is a song by Canadian rapper Drake from his 2016 album of the same name, reflecting on his rise to fame and personal struggles.
  • C. Points of View
    "Points of View" is a sculptural work by British artist Tony Cragg, known for its dynamic, abstract forms that explore perception and the relationship between solid matter and surrounding space.
  • D. Vistas
    "Vistas" is a musical track from the collaborative album *Appalachian Journey*, featuring contemporary interpretations of American folk and classical styles.
  • E. Vistas
    Vistas is a collection of imaginative and symbolist prose poems by Scottish writer William Sharp, published under his own name in the late 19th century.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980be37208190962e91f1e19df159 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead460908190a566f5416e456aeb completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:58 p.m.