Triple

T8635680
Position Surface form Disambiguated ID Type / Status
Subject DJ Snake E204516 entity
Predicate collaboratedWith P435 FINISHED
Object E605562 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: MØ | Statement: [DJ Snake, collaboratedWith, MØ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MØ
Context triple: [DJ Snake, collaboratedWith, MØ]
  • A. chosen
    MØ is a Danish singer and songwriter known for her electro-pop sound and international hits like "Lean On" with Major Lazer.
  • B. Tove Lo
    Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
  • C. The Dø
    The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
  • D. Normani
    Normani is an American singer, dancer, and former Fifth Harmony member known for her dynamic R&B-pop music and highly choreographed performances.
  • E. Victoria Monét
    Victoria Monét is an American singer, songwriter, and producer known for her solo R&B work and for writing hits for artists like Ariana Grande.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4760fa448190862c886bc5a6ec10 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc23d6808190801993e41d93bb9c completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.