Triple
T602248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snoop Dogg |
E11518
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Snoop Lion |
E11518
|
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: Snoop Lion | Statement: [Snoop Dogg, alsoKnownAs, Snoop Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snoop Lion Context triple: [Snoop Dogg, alsoKnownAs, Snoop Lion]
-
A.
Lupe Fiasco
Lupe Fiasco is an American rapper, songwriter, and producer known for his socially conscious lyrics and critically acclaimed albums such as "Food & Liquor" and "The Cool."
-
B.
Sheck Wes
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
-
C.
Snoop Dogg
chosen
Snoop Dogg is an American rapper, songwriter, and media personality known for his laid-back flow, West Coast G-funk sound, and decades-long influence on hip-hop culture.
-
D.
2 Chainz
2 Chainz is an American rapper and songwriter known for his witty wordplay, Southern trap sound, and hit singles like "No Lie" and "Birthday Song."
-
E.
Sarkodie
Sarkodie is a renowned Ghanaian rapper and songwriter celebrated as one of Africa’s leading hip-hop and Afrobeats artists.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d7c08648190bbffc8adb4148987 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6373fbf388190afb01fcfd67f03bf |
completed | March 3, 2026, 1:19 a.m. |
Created at: March 1, 2026, 7:35 p.m.