Triple
T7903440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmy Göring |
E183511
|
entity |
| Predicate | sameAs |
P6530
|
FINISHED |
| Object | Emmy Sonnemann |
E700582
|
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: Emmy Sonnemann | Statement: [Emmy Göring, sameAs, Emmy Sonnemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmy Sonnemann Context triple: [Emmy Göring, sameAs, Emmy Sonnemann]
-
A.
Emmy Sonnemann
chosen
Emmy Sonnemann was a German stage actress best known as the second wife of Hermann Göring, a leading figure in Nazi Germany.
-
B.
Stefanie Eulinberg
Stefanie Eulinberg is an American drummer best known for her long-time work with Kid Rock’s backing band, Twisted Brown Trucker.
-
C.
Jo Eisinger
Jo Eisinger was an American screenwriter best known for his dark, psychologically complex film noir scripts, including classics like "Gilda" and "Night and the City."
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Sonya Walger
Sonya Walger is a British actress best known for her roles in television series such as "Lost," "FlashForward," and "For All Mankind."
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdd1ad348190b0a01aa4a4f360d4 |
completed | April 1, 2026, 6:40 a.m. |
Created at: March 30, 2026, 5:02 p.m.