Triple
T20473504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjo-Kazooie |
E502253
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Banjo |
E1433543
|
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: Banjo | Statement: [Banjo-Kazooie, protagonist, Banjo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banjo Context triple: [Banjo-Kazooie, protagonist, Banjo]
-
A.
Banjo
Banjo is a 1929 novel by Harlem Renaissance writer Claude McKay that explores Black diasporic life and identity through the experiences of Black seamen and drifters in the port city of Marseille.
-
B.
Banjo
chosen
Banjo is a honey bear and the banjo-playing protagonist of the Banjo-Kazooie video game series developed by Rare.
-
C.
The Banjo Player
The Banjo Player is a 19th-century genre painting by American artist William Sidney Mount that depicts a lively scene of everyday life centered on a banjo musician.
-
D.
Banjo-Pilot
Banjo-Pilot is a kart-style aerial racing video game for the Game Boy Advance featuring characters from the Banjo-Kazooie series.
-
E.
Gibson Granada banjo
The Gibson Granada banjo is a high-end, pre-war style bluegrass banjo model famously associated with and played by Earl Scruggs.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69962d810819091bb13fe73250e24 |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893ac21a08190b9ea8e5dc78d83f2 |
completed | May 16, 2026, 3:56 p.m. |
Created at: April 16, 2026, 11:33 a.m.