Triple
T22274879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettler |
E550574
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Kettler GB |
—
|
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: Kettler GB | Statement: [Kettler, hasSubsidiary, Kettler GB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettler GB Context triple: [Kettler, hasSubsidiary, Kettler GB]
-
A.
Kettler
chosen
Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
-
B.
LeMond Fitness
LeMond Fitness is a fitness equipment company known for producing high-quality indoor exercise bikes and training products inspired by the innovations of cycling champion Greg LeMond.
-
C.
Leeb
Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
-
D.
Weider
Weider is a surname most prominently associated with Joe Weider, a pioneering figure in bodybuilding and fitness publishing.
-
E.
Keller Machine
The Keller Machine is a sinister alien mind-draining device from the Doctor Who serial "The Mind of Evil," used to extract and feed on negative emotions.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea643d48190985371d01aac7bfc |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.