Triple
T13698995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skillz |
E328465
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mad Skillz |
E1056017
|
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: Mad Skillz | Statement: [Skillz, alsoKnownAs, Mad Skillz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mad Skillz Context triple: [Skillz, alsoKnownAs, Mad Skillz]
-
A.
Mad Skillz
chosen
Mad Skillz is an American rapper and songwriter known for his witty lyricism and his annual “Rap Up” songs summarizing each year’s events.
-
B.
Chopmaster J
Chopmaster J is an American hip hop producer and DJ best known as a founding member of the rap group Digital Underground.
-
C.
Freerider
Freerider is a famous big-wall free climbing route on El Capitan in Yosemite National Park, renowned for its difficulty and for being the line Alex Honnold soloed in the film "Free Solo."
-
D.
Sidestepper
Sidestepper is a crab-like enemy from the Mario series known for moving sideways and requiring multiple hits to be defeated in the classic arcade-style games.
-
E.
Kill Da DJ
"Kill Da DJ" is a notable track from Nicki Minaj’s mixtape *Beam Me Up Scotty*, recognized for its aggressive delivery and braggadocious lyrics.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4f35888190b2c3df62bde1ce6e |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.