Triple
T1756686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard |
E38564
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Bernharde |
E38564
|
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: Bernharde | Statement: [Bernhard, hasFeminineForm, Bernharde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernharde Context triple: [Bernhard, hasFeminineForm, Bernharde]
-
A.
Bernhard
chosen
Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
-
B.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
C.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
D.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
-
E.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643ce88481909d2feef3c5fd849f |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c4f7cc8190a60d3bd276711b27 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.