Triple
T20473125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exploding Bonbons |
E502242
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Fizzing Whizzbees |
—
|
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: Fizzing Whizzbees | Statement: [Exploding Bonbons, relatedTo, Fizzing Whizzbees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fizzing Whizzbees Context triple: [Exploding Bonbons, relatedTo, Fizzing Whizzbees]
-
A.
Fizzing Whizzbees
chosen
Fizzing Whizzbees are a popular magical sweet in the Harry Potter universe that make those who eat them levitate slightly off the ground.
-
B.
Buzz the Bee
Buzz the Bee is the cheerful cartoon bee mascot featured on Stinger’s branding and promotional materials.
-
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.
Buzzy Beamer
Buzzy Beamer is a musician best known as a member of the Athens, Georgia-based alternative rock band Love Tractor.
-
E.
The Fizz
The Fizz is a British pop group formed by former members of the Eurovision-winning band Bucks Fizz, known for performing updated versions of their classic hits and new material.
- 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.