Triple
T3982889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AEG corporate identity |
E86799
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | AEG monogram |
E86799
|
NE FINISHED |
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: AEG monogram | Statement: [AEG corporate identity, includes, AEG monogram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEG monogram Context triple: [AEG corporate identity, includes, AEG monogram]
-
A.
AEG Europe
AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
-
B.
AEG corporate identity
chosen
AEG corporate identity is a pioneering early 20th-century example of comprehensive corporate branding and design, created by Peter Behrens for the German electrical company AEG.
-
C.
Gaggenau
Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
-
D.
Blomberg
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
-
E.
Hamilton Beach
Hamilton Beach is an American brand best known for manufacturing household appliances such as blenders, coffee makers, and other small kitchen devices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540257c188190899b00bf1d0247d2 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:33 p.m.