Triple
T20334490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Diggity |
E492570
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | William "Skylz" Stewart |
—
|
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: William "Skylz" Stewart | Statement: [No Diggity, writer, William "Skylz" Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William "Skylz" Stewart Context triple: [No Diggity, writer, William "Skylz" Stewart]
-
A.
William "Skylz" Stewart
chosen
William "Skylz" Stewart is a music producer best known for his work on the hit R&B track "No Diggity."
-
B.
Skyler "Skyz Muzik" Keeton
Skyler "Skyz Muzik" Keeton is a music producer best known for his work on the hip-hop album "Year of the Dog... Again."
-
C.
Damian Lee
Damian Lee is a Canadian film producer and director known for his work on movies such as the dance drama "How She Move."
-
D.
Lyriq Bent
Lyriq Bent is a Canadian actor known for his roles in the Saw film series, the television miniseries Book of Negroes, and various film and TV dramas.
-
E.
Josh Sklair
Josh Sklair is a guitarist and record producer best known for his long-time work with Etta James and contributions to blues and soul recordings.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ea8a088190b2b37accd6b24277 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.