Triple
T17907527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuki Sanban |
E447738
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Wallabee Beetles |
—
|
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: Wallabee Beetles | Statement: [Kuki Sanban, closeTo, Wallabee Beetles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallabee Beetles Context triple: [Kuki Sanban, closeTo, Wallabee Beetles]
-
A.
Wallabee Beetles
chosen
Wallabee "Wally" Beetles is a hot-headed, tough but loyal member of Sector V in the animated series Codename: Kids Next Door, where he serves as Numbuh 4.
-
B.
Bettles
Bettles is a small, remote community in northern Alaska that serves as a key access point and logistical hub for visitors to Gates of the Arctic National Park and Preserve.
-
C.
Buzzy Beetle
Buzzy Beetle is a hard-shelled, fireproof enemy from the Super Mario series that typically walks along surfaces and retreats into its shell when jumped on.
-
D.
Beetlebum
"Beetlebum" is a 1997 alternative rock single by the British band Blur, known for its introspective lyrics and distinctive, Beatles-influenced sound.
-
E.
Beetle
Beetle is a Marvel Comics supervillain known for his high-tech armored suit and frequent clashes with Spider-Man.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9d458881909e35e1c7a6e85436 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.