Triple
T12725483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azonto |
E304093
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | U Go Kill Me |
E304102
|
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: U Go Kill Me | Statement: [Azonto, notableSong, U Go Kill Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U Go Kill Me Context triple: [Azonto, notableSong, U Go Kill Me]
-
A.
You Go Kill Me
chosen
"You Go Kill Me" is a popular Azonto-era hip hop/afrobeats track by Ghanaian rapper Sarkodie that helped boost his mainstream success across Africa.
-
B.
You Kill Me
You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, directed by John Dahl and starring Ben Kingsley and Téa Leoni.
-
C.
Killer Is Me
"Killer Is Me" is a song by American rock band Alice in Chains, known for its appearance on their 1996 MTV Unplugged performance.
-
D.
Kill Me Later
Kill Me Later is a 2001 darkly comic British-Canadian crime thriller film about a suicidal bank employee caught up in a botched robbery and taken hostage.
-
E.
Kill Your Friends
Kill Your Friends is a darkly comic British film (based on John Niven’s novel) that satirizes the ruthless 1990s music industry through the violent, ambition-fueled rise of an A&R executive.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96415ebe48190ae935bc3a9b00f65 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e61e7081908dec7958e8bc1125 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:25 p.m.