Triple

T24281813
Position Surface form Disambiguated ID Type / Status
Subject MØ E605562 entity
Predicate notableWork P4 FINISHED
Object Don’t Wanna Dance
"Don’t Wanna Dance" is a pop song by Danish singer-songwriter MØ that blends catchy melodies with emotionally charged lyrics about disillusionment and detachment.
 E1628139 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: Don’t Wanna Dance | Statement: [MØ, notableWork, Don’t Wanna Dance]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Don’t Wanna Dance
Triple: [MØ, notableWork, Don’t Wanna Dance]
Generated description
"Don’t Wanna Dance" is a pop song by Danish singer-songwriter MØ that blends catchy melodies with emotionally charged lyrics about disillusionment and detachment.

Provenance (5 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_69e295480d0c8190846fc3c2e2da1d4c completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f52e57c8190ab73e4b2b6a9eafd completed April 29, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9c6eee08190b5aa53cac2a485a7 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcb28386881909ee80082449cf249 completed May 22, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcbdbc134819095ad50771a7c8809 completed May 22, 2026, 3:22 a.m.
Created at: April 18, 2026, 12:08 a.m.