Triple

T12259103
Position Surface form Disambiguated ID Type / Status
Subject One Dance E292174 entity
Predicate album P1995 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: [One Dance, album, Views]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Views
Context triple: [One Dance, album, 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. 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.
  • C. Vistas
    "Vistas" is a musical track from the collaborative album *Appalachian Journey*, featuring contemporary interpretations of American folk and classical styles.
  • D. 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.
  • E. Vision
    Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac1b5148190838b782848e3fa36 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.