Triple
T20421158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Oberhauser |
E500852
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oberhauser |
—
|
NE NERFINISHED |
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: Oberhauser | Statement: [Andrea Oberhauser, familyName, Oberhauser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberhauser Context triple: [Andrea Oberhauser, familyName, Oberhauser]
-
A.
Oberhauser
chosen
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
-
B.
Oberheuser
Oberheuser is a German surname most notably associated with Herta Oberheuser, a physician involved in Nazi human experimentation during World War II.
-
C.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
D.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
E.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba479008190bf6d31ee79f3a401 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.