Triple
T15416787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lighters Up |
E369261
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Snoop Lion |
E370961
|
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: [Lighters Up, artist, Snoop Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snoop Lion Context triple: [Lighters Up, artist, Snoop Lion]
-
A.
Snoop Lion
chosen
Snoop Lion is the reggae-influenced musical persona adopted by American rapper Snoop Dogg during his brief exploration of Rastafarian culture and reggae music.
-
B.
Poo Bear
Poo Bear is an American songwriter and record producer best known for his extensive collaborations with Justin Bieber and contributions to numerous contemporary pop and R&B hits.
-
C.
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."
-
D.
Snakehips
Snakehips is a British electronic music duo known for their smooth blend of R&B, hip-hop, and dance influences in contemporary pop production.
-
E.
Snoop Pearson
Snoop Pearson is a cold, stone-faced enforcer for Marlo Stanfield’s crew in HBO’s crime drama "The Wire," known for her chilling demeanor and memorable dialogue.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219fabe481909162baba9212ac1f |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.