Triple
T10065482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Bäte |
E213090
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Oliver Bäte |
E213090
|
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: Oliver Bäte | Statement: [Oliver Bäte, name, Oliver Bäte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Bäte Context triple: [Oliver Bäte, name, Oliver Bäte]
-
A.
Oliver Bäte
chosen
Oliver Bäte is a German business executive best known as the CEO of Allianz SE, one of the world’s largest insurance and financial services companies.
-
B.
Oliver Günther
Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
-
C.
Maximilian Bittner
Maximilian Bittner is a German entrepreneur best known as the founding CEO of Lazada, a major Southeast Asian e-commerce platform.
-
D.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
E.
Florian Haertel
Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff51b108190b6759f651d4ba2d2 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbb441388190bf01925b8624377d |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 8:58 p.m.