Triple
T7289243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Everything |
E163949
|
entity |
| Predicate | hasProducer |
P30366
|
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: [My Everything, hasProducer, Zedd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zedd Context triple: [My Everything, hasProducer, 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.
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.
-
D.
Khalid
Khalid is an American R&B and pop singer-songwriter known for his smooth vocals and breakout hits like "Location" and "Young Dumb & Broke."
-
E.
Richard Zhang
Richard Zhang is a computer vision and machine learning researcher known for influential work in image synthesis, colorization, and generative models.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.