Triple
T13498490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Siodmak |
E320821
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Siodmak |
E841849
|
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: Siodmak | Statement: [Robert Siodmak, familyName, Siodmak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siodmak Context triple: [Robert Siodmak, familyName, Siodmak]
-
A.
Siodmak
chosen
Siodmak is a German surname most notably associated with writer Curt Siodmak and his brother, film director Robert Siodmak, both influential figures in 20th-century cinema.
-
B.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
C.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
D.
Garbitsch
Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
-
E.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75485af6c8190a43ccab5449f5014 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.