Triple
T9906015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago drill |
E185012
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Love Sosa |
E715207
|
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: Love Sosa | Statement: [Chicago drill, notableSong, Love Sosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Sosa Context triple: [Chicago drill, notableSong, Love Sosa]
-
A.
Love Sosa
chosen
"Love Sosa" is a breakout drill-rap single by Chief Keef that helped popularize Chicago drill music in the early 2010s.
-
B.
Sosa
Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
-
C.
Sosa Keef
Sosa Keef is the nickname of Chief Keef, an influential Chicago drill rapper known for pioneering the genre’s mainstream rise in the early 2010s.
-
D.
El Cholo
El Cholo is the widely known moniker of Argentine football coach and former midfielder Diego Simeone, famed for his intense, hard-working, and combative style.
-
E.
Johnny Madrid
Johnny Madrid is a notorious outlaw gunslinger who becomes entangled with vampires in the horror Western film "From Dusk Till Dawn 3: The Hangman's Daughter."
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
Created at: March 30, 2026, 8:40 p.m.