Triple
T15121717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and a Beat |
E361186
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Zedd |
E284285
|
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: Zedd | Statement: [Beauty and a Beat, producer, Zedd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zedd Context triple: [Beauty and a Beat, producer, Zedd]
-
A.
Zedd
chosen
Zedd is a Grammy-winning Russian-German DJ and electronic music producer known for mainstream EDM hits and high-profile pop collaborations.
-
B.
Jon Bellion
Jon Bellion is an American singer, songwriter, rapper, and producer known for his genre-blending pop and hip-hop sound and for writing and producing hits for both himself and other major artists.
-
C.
Alesso
Alesso is a Swedish DJ and electronic dance music producer known for his melodic progressive house tracks and high-profile collaborations.
-
D.
Porter Robinson
Porter Robinson is an American electronic music producer and DJ known for his emotive, genre-blending albums like "Worlds" and "Nurture" and his influential role in modern EDM.
-
E.
Khalid
Khalid is a common Arabic male given name, widely used across the Middle East and beyond, meaning "eternal" or "immortal."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe6c9cc8190b15e81092faa8ccf |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.