Triple

T12260119
Position Surface form Disambiguated ID Type / Status
Subject Calm Down (remix) with Selena Gomez E292199 entity
Predicate originalVersion P46732 FINISHED
Object Calm Down E292193 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: Calm Down | Statement: [Calm Down (remix) with Selena Gomez, originalVersion, Calm Down]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calm Down
Context triple: [Calm Down (remix) with Selena Gomez, originalVersion, Calm Down]
  • A. Calm Down chosen
    "Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
  • B. You Need to Calm Down
    "You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
  • C. "Simmer Down"
    "Simmer Down" is an early ska single by The Wailers that became a major hit in Jamaica and helped establish both the group and the Studio One label in the 1960s.
  • D. Keep It Down
    "Keep It Down" is a song by the American rock band Tasty, known for its energetic style and catchy, guitar-driven sound.
  • E. Calm Air
    Calm Air is a Canadian regional airline based in Manitoba that primarily serves remote communities in northern Manitoba and Nunavut.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a921b8c8190b3f899b03575b194 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.