Triple
T8841329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Lazer |
E210395
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | MØ |
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: [Major Lazer, notableCollaboration, MØ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MØ Context triple: [Major Lazer, notableCollaboration, MØ]
-
A.
MØ
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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60876c6c8190b1b490e447e1cf4b |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab79954081908c727d0561208f9c |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:48 p.m.