Triple
T15045110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lay Me Down |
E379202
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Naughty Boy |
E379214
|
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: Naughty Boy | Statement: [Lay Me Down, producer, Naughty Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naughty Boy Context triple: [Lay Me Down, producer, Naughty Boy]
-
A.
Naughty Boy
chosen
Naughty Boy is a British record producer, songwriter, and musician known for his work on chart-topping pop and R&B hits with artists such as Sam Smith and Emeli Sandé.
-
B.
Joel Corry
Joel Corry is a British DJ, producer, and television personality known for his chart-topping dance tracks and collaborations in the UK electronic music scene.
-
C.
Rag'n'Bone Man
Rag'n'Bone Man is a British singer-songwriter known for his deep, soulful voice and breakout hit "Human."
-
D.
MNEK
MNEK is a British singer, songwriter, and record producer known for his work in pop and dance music, including collaborations with major artists and his own solo releases.
-
E.
Alesso
Alesso is a Swedish DJ and electronic dance music producer known for his melodic progressive house tracks and high-profile collaborations.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7db6f0081909ab35435c1e4ad13 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3 a.m.