Triple
T14928451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KLC |
E372192
|
entity |
| Predicate | notableWorkWithArtist |
P26239
|
FINISHED |
| Object | Silkk the Shocker |
E369152
|
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: Silkk the Shocker | Statement: [KLC, notableWorkWithArtist, Silkk the Shocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silkk the Shocker Context triple: [KLC, notableWorkWithArtist, Silkk the Shocker]
-
A.
Silkk the Shocker
chosen
Silkk the Shocker is an American rapper from New Orleans known for his work with Master P’s No Limit Records and his distinctive offbeat flow in Southern hip hop.
-
B.
Sly
Sly is a character featured as one of the members in the Head Hunters group.
-
C.
Sly
Sly is a writer best known for authoring the work "Side Effects."
-
D.
Bubba Sparxxx
Bubba Sparxxx is an American rapper known for blending Southern hip hop with country influences, gaining prominence in the early 2000s with hits like "Ugly" and "Ms. New Booty."
-
E.
Roc the Panther
Roc the Panther is the costumed panther mascot representing the University of Pittsburgh at its athletic events and campus activities.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e88e4a08190a56b4a1336e07bdf |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:35 a.m.