Triple

T7417521
Position Surface form Disambiguated ID Type / Status
Subject Hot n Cold E171166 entity
Predicate producer P490 FINISHED
Object Dr. Luke E404303 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: Dr. Luke | Statement: [Hot n Cold, producer, Dr. Luke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Luke
Context triple: [Hot n Cold, producer, Dr. Luke]
  • A. Dr. Luke chosen
    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.
  • B. RedOne
    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.
  • 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. Bill Bottrell
    Bill Bottrell is an American record producer, songwriter, and musician best known for his work with artists like Sheryl Crow, Michael Jackson, and Madonna.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c9314c8190855b79a2e6ef3e9b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845ecfe988190a981924f5ef49c83 completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:11 p.m.