Triple
T21455328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Got Next |
E529323
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Common |
—
|
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: Common | Statement: [I Got Next, featuresArtist, Common]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Common Context triple: [I Got Next, featuresArtist, Common]
-
A.
Common
chosen
Common is an American rapper, actor, and activist known for his socially conscious lyrics and influential role in conscious hip-hop.
-
B.
Common
Common is a British television drama written by Jimmy McGovern that explores the controversial legal doctrine of joint enterprise through the story of a teenager implicated in a fatal attack.
-
C.
Comum
Comum, known today as Como, is an ancient town in northern Italy near Lake Como that was an important Roman settlement and later a notable medieval and Renaissance center.
-
D.
Common Speech
Common Speech is the widely used lingua franca of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by most peoples across the western lands.
-
E.
Common Voice
Common Voice is an open-source, crowdsourced dataset of voice recordings created to help train and improve speech recognition technologies for diverse languages and accents.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d612e081909d00ca59a3621cc9 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.