Triple

T8066922
Position Surface form Disambiguated ID Type / Status
Subject Make Her Say E188265 entity
Predicate writer P1360 FINISHED
Object RedOne E210656 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: RedOne | Statement: [Make Her Say, writer, RedOne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RedOne
Context triple: [Make Her Say, writer, 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. Lyor Cohen
    Lyor Cohen is a prominent music industry executive known for his influential leadership at major hip-hop labels and his role in shaping the careers of numerous rap and R&B artists.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e1ed44819083ed9db6c9d7b0fd completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.