Triple
T5328291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G Herbo |
E123239
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lil Reese |
E395880
|
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: Lil Reese | Statement: [G Herbo, associatedAct, Lil Reese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Reese Context triple: [G Herbo, associatedAct, Lil Reese]
-
A.
Lil Reese
chosen
Lil Reese is an American rapper from Chicago known for his role in the drill music scene and collaborations with artists like Chief Keef and Lil Durk.
-
B.
Lil Bit
"Lil Bit" is a track from Chance the Rapper and Jeremih’s collaborative Christmas-themed project "Merry Christmas Lil Mama."
-
C.
Lil Twist
Lil Twist is an American rapper from Dallas, Texas, known for his early association with Lil Wayne and appearances on various Young Money projects.
-
D.
Lil Duval
Lil Duval is an American stand-up comedian, actor, and recording artist known for his humorous social commentary and viral comedy sketches.
-
E.
Lil
Lil is a key character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a reputation-based future society centered around a Disney World-like theme park.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8593bd6c8190b2054e548ddf2458 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18b00f9c8190b3882f6112546b4a |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.