Triple
T1627979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finally Famous |
E35188
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Boi-1da |
E83312
|
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: Boi-1da | Statement: [Finally Famous, producer, Boi-1da]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boi-1da Context triple: [Finally Famous, producer, Boi-1da]
-
A.
Boi-1da
chosen
Boi-1da is a Canadian record producer known for crafting influential hip-hop hits for artists like Drake, Kanye West, and Eminem.
-
B.
Borobi
Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
-
C.
Bou
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
-
D.
Boyega
Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
-
E.
Beni
Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d3808c819086a4a66e66905e8a |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.