Triple
T3996085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Girl Gone Bad |
E87100
|
entity |
| Predicate | nextWork |
P9710
|
FINISHED |
| Object | Rated R |
E85473
|
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: Rated R | Statement: [Good Girl Gone Bad, nextWork, Rated R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rated R Context triple: [Good Girl Gone Bad, nextWork, Rated R]
-
A.
Rated R
chosen
Rated R is Rihanna's dark, emotionally charged fourth studio album that marked a stylistic shift toward edgier pop and R&B following her early mainstream success.
-
B.
Ra
Ra is the ancient Egyptian sun god, revered as a supreme creator deity and central figure in Pharaonic religion and mythology.
-
C.
E for Everyone
E for Everyone is an ESRB content rating indicating that a video game is generally suitable for players of all ages.
-
D.
MPAA film rating system
The MPAA film rating system is a standardized classification scheme used in the United States to inform audiences—especially parents—about the suitability of films for different age groups based on their content.
-
E.
R
R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5562139b481909faba39f4f36cd26 |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:34 p.m.