Triple

T22127007
Position Surface form Disambiguated ID Type / Status
Subject Take Me Home E546814 entity
Predicate producer P490 FINISHED
Object RedOne 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: RedOne | Statement: [Take Me Home, producer, RedOne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RedOne
Context triple: [Take Me Home, producer, RedOne]
  • A. RedOne chosen
    RedOne is a Moroccan-Swedish record producer and songwriter known for crafting global pop and dance hits for artists like Lady Gaga, Jennifer Lopez, and Nicki Minaj.
  • B. Dr. Luke
    Dr. Luke is an American pop music producer and songwriter known for crafting numerous chart-topping hits for major artists in the 2000s and 2010s.
  • C. Benny Blanco
    Benny Blanco is an American record producer and songwriter known for crafting numerous chart-topping pop and hip-hop hits for major artists.
  • D. Gregor Kurstin
    Gregor Kurstin is a Grammy-winning American songwriter and producer known for crafting pop hits for major artists including Kelly Clarkson, Adele, and Sia.
  • E. Denniz Pop
    Denniz Pop was a pioneering Swedish DJ, producer, and songwriter who helped shape the modern pop sound of the 1990s and launched the careers of numerous international pop stars.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12982eaa08190933d3036c020f562 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.