Triple
T8112995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murda Beatz |
E189400
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fefe |
E125940
|
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: Fefe | Statement: [Murda Beatz, notableWork, Fefe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fefe Context triple: [Murda Beatz, notableWork, Fefe]
-
A.
Fefe
chosen
"Fefe" is a 2018 hip-hop single by rapper Tekashi 6ix9ine featuring Nicki Minaj and Murda Beatz that gained widespread attention for its catchy hook and colorful music video.
-
B.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
C.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
-
D.
Franchesca
Franchesca is a feminine given name, typically considered a variant spelling of Francesca and used in various English-speaking and European cultures.
-
E.
Fiona
Fiona is a central character in the Shrek film series, an ogre princess known for her bravery, independence, and unconventional fairy-tale romance with Shrek.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.