Triple

T13057394
Position Surface form Disambiguated ID Type / Status
Subject DJ Got Us Fallin' in Love E327612 entity
Predicate songwriter P1141 FINISHED
Object Max Martin E185694 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: Max Martin | Statement: [DJ Got Us Fallin' in Love, songwriter, Max Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Martin
Context triple: [DJ Got Us Fallin' in Love, songwriter, 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 (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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.