Triple
T6291470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Not a Human Being |
E141027
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Lil Twist |
E340504
|
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 Twist | Statement: [I Am Not a Human Being, featuresArtist, Lil Twist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Twist Context triple: [I Am Not a Human Being, featuresArtist, Lil Twist]
-
A.
Lil Twist
chosen
Lil Twist is an American rapper from Dallas, Texas, known for his early association with Lil Wayne and appearances on various Young Money projects.
-
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 Reese
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.
-
D.
Lil' Flip
Lil' Flip is an American rapper from Houston, Texas, known for his early-2000s Southern hip hop hits and freestyle skills.
-
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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.