Triple
T23203325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hummel |
E580376
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object | Hummel Kids |
—
|
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: Hummel Kids | Statement: [Hummel, hasSubsidiaryBrand, Hummel Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hummel Kids Context triple: [Hummel, hasSubsidiaryBrand, Hummel Kids]
-
A.
Hummel
chosen
Hummel is a Danish sportswear brand known for producing football kits and athletic apparel for clubs and national teams worldwide.
-
B.
Hummel
The Hummel was a German World War II self-propelled artillery vehicle mounting a 15 cm howitzer on a modified Panzer IV chassis.
-
C.
Steiff
Steiff is a renowned German toy company best known for inventing the modern teddy bear and producing high-quality collectible stuffed animals.
-
D.
Regensburger Domspatzen
The Regensburger Domspatzen is a renowned German boys' choir based at Regensburg Cathedral, famous for its centuries-old tradition of sacred choral music.
-
E.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907b3e88819088a397a99456bf77 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.