Triple
T13972638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Müller-Thurgau |
E336101
|
entity |
| Predicate | majorRegion |
P285
|
FINISHED |
| Object | Franken |
E88779
|
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: Franken | Statement: [Müller-Thurgau, majorRegion, Franken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franken Context triple: [Müller-Thurgau, majorRegion, Franken]
-
A.
Franken
chosen
Franken is a culturally rich region in northern Bavaria, Germany, known for its historic towns, traditional festivals, and distinctive Franconian wine and beer.
-
B.
Franken
Franken is the surname of Al Franken, an American comedian, writer, and former U.S. senator from Minnesota.
-
C.
Adam Frankenstein
Adam Frankenstein is the reanimated creature and central protagonist of the 2014 dark fantasy film "I, Frankenstein," who becomes embroiled in a war between gargoyles and demons.
-
D.
William Frankenstein
William Frankenstein is the young brother of Victor Frankenstein in Mary Shelley's novel "Frankenstein," whose murder becomes a pivotal catalyst in the story's tragic events.
-
E.
Igor (later Frankenstein films)
Igor is the iconic hunchbacked assistant character from later Frankenstein films, often depicted as the mad scientist’s deformed, sycophantic helper in popular culture.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.