Triple
T15133999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Louie |
E361503
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lil Herb |
E123239
|
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 Herb | Statement: [King Louie, associatedAct, Lil Herb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Herb Context triple: [King Louie, associatedAct, Lil Herb]
-
A.
Lil Herb
chosen
Lil Herb, better known as G Herbo, is a Chicago drill rapper recognized for his gritty storytelling and collaborations with fellow Chicago artists.
-
B.
Canibus
Canibus is an American rapper known for his complex, battle-oriented lyricism and technically intricate rhyme schemes.
-
C.
Mr. Lif
Mr. Lif is an American underground hip hop MC and producer from Boston known for his politically charged lyrics and work with the Definitive Jux label.
-
D.
Pharoahe Monch
Pharoahe Monch is an American rapper and lyricist known for his complex wordplay, intricate rhyme schemes, and influential work in underground hip-hop.
-
E.
Elzhi
Elzhi is an American rapper and lyricist from Detroit known for his intricate wordplay and work as a former member of the influential hip-hop group Slum Village.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.