Triple
T11373524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard Bloch |
E269403
|
entity |
| Predicate | patient |
P12412
|
FINISHED |
| Object | Hitler family |
E614548
|
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: Hitler family | Statement: [Eduard Bloch, patient, Hitler family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitler family Context triple: [Eduard Bloch, patient, Hitler family]
-
A.
Hitler family
chosen
The Hitler family was an Austrian-German family best known for including Adolf Hitler, the dictator who led Nazi Germany during World War II.
-
B.
Ribbentrop family
The Ribbentrop family is a German noble lineage best known for its association with Joachim von Ribbentrop, Nazi Germany’s foreign minister during World War II.
-
C.
Göring family
The Göring family is a notable German lineage best known for producing Hermann Göring, a leading Nazi official and close associate of Adolf Hitler.
-
D.
Otto family
The Otto family is a notable literary and academic family associated with writer and scholar Darcey O'Brien.
-
E.
Heinz family
The Heinz family is an American philanthropic and political dynasty best known for its fortune from the H. J. Heinz food company and its extensive charitable, cultural, and public-service initiatives.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8d244c8190b865260338edb532 |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568e3e108190ab843236b417f150 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.