Triple
T21562595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Larsson |
E532073
|
entity |
| Predicate | hasNotableCollaborationWith |
P8554
|
FINISHED |
| Object | Alesso |
—
|
NE NERFINISHED |
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: Alesso | Statement: [Zara Larsson, hasNotableCollaborationWith, Alesso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alesso Context triple: [Zara Larsson, hasNotableCollaborationWith, Alesso]
-
A.
Alesso
chosen
Alesso is a Swedish DJ and electronic dance music producer known for his melodic progressive house tracks and high-profile collaborations.
-
B.
Felix Jaehn
Felix Jaehn is a German DJ and record producer best known internationally for his tropical house remix of "Cheerleader" and other chart-topping dance tracks.
-
C.
Remy van Buuren
Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
-
D.
Gui Boratto
Gui Boratto is a Brazilian electronic music producer and DJ known for his melodic techno and house productions and remixes.
-
E.
Oliver Heldens
Oliver Heldens is a Dutch DJ and electronic music producer known for pioneering the future house genre and releasing international hits like "Gecko (Overdrive)."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e5c3348190b67003e7027efa60 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.