Triple
T13718588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epiphany |
E328966
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Rappa Ternt Sanga |
E328965
|
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: Rappa Ternt Sanga | Statement: [Epiphany, follows, Rappa Ternt Sanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rappa Ternt Sanga Context triple: [Epiphany, follows, Rappa Ternt Sanga]
-
A.
Rappa Ternt Sanga
chosen
Rappa Ternt Sanga is the first studio album by American singer and rapper T-Pain, showcasing his signature Auto-Tune–driven R&B and hip-hop style.
-
B.
The Mad Rapper
The Mad Rapper is the satirical alter ego of hip-hop producer Deric "D-Dot" Angelettie, known from skits and appearances on late-1990s Bad Boy Records releases.
-
C.
Bring da Ruckus
"Bring da Ruckus" is the hard-hitting opening track by the Wu-Tang Clan that sets the raw, gritty tone for their landmark debut album.
-
D.
Rasta Man
"Rasta Man" is a reggae track associated with the album *Blackheart Man*, reflecting Rastafarian themes and culture.
-
E.
Riding the Rap
"Riding the Rap" is a crime novel by Elmore Leonard featuring U.S. Marshal Raylan Givens as he navigates a kidnapping scheme in South Florida.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a847c4d08190b05ea525059f0465 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.