Triple
T22591248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steiff Museum |
E564953
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Margarete Steiff GmbH |
—
|
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: Margarete Steiff GmbH | Statement: [Steiff Museum, ownedBy, Margarete Steiff GmbH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarete Steiff GmbH Context triple: [Steiff Museum, ownedBy, Margarete Steiff GmbH]
-
A.
Margarete Steiff GmbH
chosen
Margarete Steiff GmbH is a German toy company famous worldwide for inventing the modern teddy bear and producing high-quality plush animals.
-
B.
Ertl Company
Ertl Company is an American manufacturer best known for producing die-cast metal toy replicas of farm equipment, vehicles, and other collectibles.
-
C.
Margarete Steiff
Margarete Steiff was a German seamstress and entrepreneur best known for founding the Steiff toy company and creating the first commercially produced teddy bears.
-
D.
Dyckerhoff & Widmann
Dyckerhoff & Widmann was a German construction and engineering firm known for its pioneering work in concrete structures and major bridge projects.
-
E.
Erma Werke
Erma Werke was a German arms manufacturer best known for producing small arms and submachine guns before and during World War II.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16160651081909d23735336fd7a16 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:48 p.m.