Triple
T20473505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjo-Kazooie |
E502253
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Kazooie |
—
|
NE NERFINISHED |
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: Kazooie | Statement: [Banjo-Kazooie, protagonist, Kazooie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazooie Context triple: [Banjo-Kazooie, protagonist, Kazooie]
-
A.
Kazooie
chosen
Kazooie is a wisecracking red-crested breegull and one of the two playable protagonists in the Banjo-Kazooie video game series, known for her sarcastic personality and role in the duo’s platforming abilities.
-
B.
Wazoo
Wazoo is an alternative form or spelling of the name "Wazzu," often used informally or colloquially.
-
C.
Weazel
Weazel is a minor character portrayed by Warwick Davis in the Star Wars universe, appearing as a gambler and spectator in the podracing scenes of "Star Wars: Episode I – The Phantom Menace."
-
D.
Zoot
Zoot is a fictional animal character name commonly used in entertainment and media, often evoking a quirky or playful creature.
-
E.
Zoot
Zoot is the nickname of Zoot Sims, an influential American jazz saxophonist known for his swinging style and work in the cool jazz and big band traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:33 a.m.