Triple
T15328523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KXNG Crooked |
E366473
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Statik KXNG |
E1060311
|
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 KXNG | Statement: [KXNG Crooked, notableWork, Statik KXNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statik KXNG Context triple: [KXNG Crooked, notableWork, Statik KXNG]
-
A.
KXNG Crooked
KXNG Crooked is an American rapper and former member of the supergroup Slaughterhouse, known for his intricate lyricism and West Coast hip-hop roots.
-
B.
Sticky Fingaz
Sticky Fingaz is an American rapper and actor best known as a member of the hardcore hip hop group Onyx and for his roles in film and television.
-
C.
Kxng Crooked
chosen
Kxng Crooked is an American rapper and lyricist best known for his intricate wordplay, West Coast roots, and membership in the hip hop supergroup Slaughterhouse.
-
D.
Jhankaar Beats
Jhankaar Beats is a 2003 Hindi musical comedy film known for its tribute to R.D. Burman, its popular soundtrack, and its story of three friends forming a band.
-
E.
Ayo N Keyz
Ayo N Keyz is a music production duo known for crafting contemporary hip-hop and R&B tracks for prominent artists.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8af92a88190bd47f1a484f25eb1 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.