Triple
T20942313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Always on Time |
E515753
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ja Rule |
—
|
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: Ja Rule | Statement: [Always on Time, writer, Ja Rule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ja Rule Context triple: [Always on Time, writer, Ja Rule]
-
A.
Ja Rule
chosen
Ja Rule is an American rapper, singer, and actor known for his early-2000s hit collaborations and distinctive melodic rap style.
-
B.
LL Cool J
LL Cool J is an American rapper and actor who emerged as one of hip-hop’s early stars and later became widely known for his roles in film and television.
-
C.
50 Cent
50 Cent is an American rapper, actor, and entrepreneur known for his influential early-2000s hip-hop albums and his breakout debut "Get Rich or Die Tryin'."
-
D.
Juelz Santana
Juelz Santana is an American rapper from Harlem best known as a member of The Diplomats (Dipset) and for his early-2000s hits and collaborations in East Coast hip hop.
-
E.
Ludacris
Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9571c448190b314a66e02772b1e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.