Triple
T11806862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Eberl |
E280768
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eberl |
E280768
|
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: Eberl | Statement: [Max Eberl, familyName, Eberl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eberl Context triple: [Max Eberl, familyName, Eberl]
-
A.
Eberl
chosen
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
B.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
C.
Garbitsch
Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
-
D.
Stölzl
Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
-
E.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131726ab08190ae777bee3ac6df43 |
completed | April 28, 2026, 10:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.