Triple
T17265565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernd Huber |
E419116
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bernd |
E1012275
|
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: Bernd | Statement: [Bernd Huber, givenName, Bernd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernd Context triple: [Bernd Huber, givenName, Bernd]
-
A.
Bernd
chosen
Bernd is a masculine given name of German origin, commonly used in German-speaking countries.
-
B.
Benno
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
-
C.
Helmut
Helmut is a masculine given name of German origin, historically common in German-speaking countries.
-
D.
Ortwin
Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
-
E.
Dettmar
Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f44ec7c81909a925fc8692b0a6c |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794641648190a5db87ecb359c17a |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:40 a.m.