Triple
T9596412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günther Oettinger |
E231541
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oettinger |
E250162
|
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: Oettinger | Statement: [Günther Oettinger, familyName, Oettinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oettinger Context triple: [Günther Oettinger, familyName, Oettinger]
-
A.
Luise Oettinger
chosen
Luise Oettinger was the wife of Nobel Prize–winning physicist and physical chemist Gerhard Herzberg.
-
B.
Daniel Günther
Daniel Günther is a German politician from the Christian Democratic Union (CDU) who serves as the Minister-President of the northern federal state of Schleswig-Holstein.
-
C.
Martin Schröder
Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
-
D.
Steinbrueck
Steinbrueck is a surname most notably associated with Victor Steinbrueck, an influential American architect and preservationist known for helping save Seattle’s Pike Place Market.
-
E.
Friedrich Merz
Friedrich Merz is a German lawyer, longtime CDU politician, and current leader of Germany’s Christian Democratic Union known for his conservative, pro-business positions.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a164c20819093fa863f8f5f79c0 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16199845881908f8a91182ca48250 |
completed | April 4, 2026, 7:08 p.m. |
Created at: March 30, 2026, 8:07 p.m.