Triple

T18614170
Position Surface form Disambiguated ID Type / Status
Subject How Do You Sleep? E454974 entity
Predicate writer P1360 FINISHED
Object Max Martin 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: Max Martin | Statement: [How Do You Sleep?, writer, Max Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Martin
Context triple: [How Do You Sleep?, writer, Max Martin]
  • A. Max Martin chosen
    Max Martin is a Swedish songwriter and record producer renowned for crafting numerous global pop hits for artists like Britney Spears, Backstreet Boys, Taylor Swift, and Katy Perry.
  • B. Greg Kurstin
    Greg Kurstin is a Grammy-winning American producer, songwriter, and multi-instrumentalist known for his work with major artists across pop and rock music.
  • C. 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.
  • D. 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.
  • E. Bill Danoff
    Bill Danoff is an American songwriter and singer best known for co-writing hits like "Take Me Home, Country Roads" and "Afternoon Delight."
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d03feb88190bbd8889273d82f7f completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.