Triple
T20037015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Lit |
E497297
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Get Lit |
—
|
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: Get Lit | Statement: [Get Lit, hasTitle, Get Lit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Lit Context triple: [Get Lit, hasTitle, Get Lit]
-
A.
Get Lit
chosen
"Get Lit" is a hip-hop track by American rapper Ludacris from his album "Ludaversal."
-
B.
Libri-light
Libri-light is a large-scale, weakly supervised English speech corpus commonly used to train and evaluate self-supervised and unsupervised speech representation models.
-
C.
LIT
LIT is the IATA airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
-
D.
LIT
LIT is the stock ticker symbol for Litton Industries, a former major American defense and electronics manufacturing company.
-
E.
Get That Paper
Get That Paper is a studio album by the Chicago hip hop duo Do or Die, showcasing their smooth, melodic gangsta rap style.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e8573081909f71fda640aa3220 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.