Triple
T9905102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numbers on the Boards |
E184987
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | 88-Keys |
E24992
|
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: 88-Keys | Statement: [Numbers on the Boards, producer, 88-Keys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 88-Keys Context triple: [Numbers on the Boards, producer, 88-Keys]
-
A.
88-Keys
chosen
88-Keys is an American hip-hop producer and DJ known for his soulful, sample-based beats and collaborations with prominent artists such as Kanye West and John Legend.
-
B.
Claviere
Claviere is a small alpine village and ski resort in northwestern Italy, known for its mountain scenery and winter sports facilities.
-
C.
Studio 880
Studio 880 is a professional recording studio known for hosting sessions by various rock and alternative artists, including the band Green Day.
-
D.
Grand Piano
Grand Piano is a 2013 thriller film about a concert pianist forced to play flawlessly under threat, starring Elijah Wood and John Cusack.
-
E.
808-Ray
808-Ray is a music producer known for his work on the DJ Khaled album "Major Key."
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb4e641e881909dfba78fcb96c433 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb2c1d5c8190b6f1c43254487893 |
completed | April 5, 2026, 4:55 a.m. |
Created at: March 30, 2026, 8:40 p.m.