Triple
T18502903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen of Rap |
E452123
|
entity |
| Predicate | mediaFramingOf |
P68191
|
FINISHED |
| Object | Lil' Kim's artistic persona |
—
|
LITERAL 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: Lil' Kim's artistic persona | Statement: [The Queen of Rap, mediaFramingOf, Lil' Kim's artistic persona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaFramingOf Context triple: [The Queen of Rap, mediaFramingOf, Lil' Kim's artistic persona]
-
A.
mediaFraming
chosen
Indicates how media content presents, structures, and emphasizes aspects of an issue or event in ways that shape interpretation and understanding.
-
B.
mediaUse
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
C.
mediaExposure
Indicates the extent to which an entity is subjected to or receives attention from media channels such as television, radio, print, or online platforms.
-
D.
mediaSides
Indicates that a media item presents, supports, or aligns with a particular side or position in a conflict, debate, or issue.
-
E.
mediaSubject
Indicates that a piece of media (e.g., an article, video, or broadcast) is about, focuses on, or covers a particular subject or topic.
- F. None of above.
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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.