Triple
T14633749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Disease II |
E343548
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Statik Selektah |
E544463
|
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: Statik Selektah | Statement: [King's Disease II, producer, Statik Selektah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statik Selektah Context triple: [King's Disease II, producer, Statik Selektah]
-
A.
Statik Selektah
chosen
Statik Selektah is an American hip-hop DJ, record producer, and radio personality known for his classic boom-bap style and collaborations with numerous prominent rap artists.
-
B.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
-
C.
Sandrich
Sandrich is a surname most notably associated with American film director Mark Sandrich, known for his classic Hollywood musicals.
-
D.
Shikles
Shikles is a surname associated with the American actor Craig Stevens, best known for his role in the television series "Peter Gunn."
-
E.
Devorski
Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda933937881909f3cf59fba878dfd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.