Triple
T14598822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stillmatic |
E342646
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | One Mic |
E1108655
|
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: One Mic | Statement: [Stillmatic, notableSong, One Mic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Mic Context triple: [Stillmatic, notableSong, One Mic]
-
A.
One Mic
chosen
"One Mic" is a critically acclaimed introspective hip-hop song by Nas from his 2001 album *Stillmatic*, known for its minimalist production and powerful, socially conscious lyrics.
-
B.
You da One
"You da One" is a 2011 pop and reggae-infused single by Barbadian singer Rihanna from her album "Talk That Talk."
-
C.
Only One Mike
Only One Mike is a stand-up comedy special by American comedian Mike Epps, showcasing his observational humor and storytelling style.
-
D.
Show Off
"Show Off" is a comedic showstopper song from the Broadway musical *The Drowsy Chaperone*, in which the character Janet Van De Graaff humorously boasts about and then renounces her many talents.
-
E.
Lit Up
"Lit Up" is a song by the American rock band Alligator.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91a4d7881908f783beb72578067 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:25 a.m.