Triple
T20148583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strange Clouds |
E491372
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dr. Luke |
—
|
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: Dr. Luke | Statement: [Strange Clouds, producer, Dr. Luke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Luke Context triple: [Strange Clouds, producer, Dr. Luke]
-
A.
Dr. Luke
chosen
Dr. Luke is an American pop music producer and songwriter known for crafting numerous chart-topping hits for major artists in the 2000s and 2010s.
-
B.
A. G. Cook
A. G. Cook is a British music producer, songwriter, and founder of the PC Music label, known for pioneering hyperpop and collaborating with major pop artists.
-
C.
RedOne
RedOne is a Moroccan-Swedish record producer and songwriter known for crafting global pop and dance hits for artists like Lady Gaga, Jennifer Lopez, and Nicki Minaj.
-
D.
Lyor Boone
Lyor Boone is a fast-talking, socially awkward yet politically savvy White House political consultant featured in the TV series "Designated Survivor."
-
E.
Benny Blanco
Benny Blanco is an American record producer and songwriter known for crafting numerous chart-topping pop and hip-hop hits for major artists.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.