Triple
T13732850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.F.T.R. |
E329852
|
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: [M.F.T.R., producer, Boi-1da]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boi-1da Context triple: [M.F.T.R., 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.
BOI
BOI is the central bank of Israel, responsible for managing the country’s monetary policy, issuing currency, and maintaining financial stability.
-
C.
BOI
BOI is the three-letter IATA airport code for Boise Airport, the primary commercial airport serving Boise, Idaho.
-
D.
Boie
Boie is the surname of German zoologist Heinrich Boie, known for his 19th-century taxonomic work describing various animal species.
-
E.
Boi Para
Boi Para is Kolkata’s famed book district, a bustling stretch of College Street renowned for its countless bookshops, secondhand stalls, and vibrant literary culture.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0dd20348190adfb1712de06088c |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:55 p.m.