Triple
T2840779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huldrych Zwingli |
E62459
|
entity |
| Predicate | hasGivenNameVariant |
P457
|
FINISHED |
| Object | Ulrich |
E157565
|
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: Ulrich | Statement: [Huldrych Zwingli, hasGivenNameVariant, Ulrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulrich Context triple: [Huldrych Zwingli, hasGivenNameVariant, Ulrich]
-
A.
Ulrich
chosen
Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
-
B.
Huldrych
Huldrych is the given name of Huldrych Zwingli, the influential Swiss reformer and key figure in the early Protestant Reformation.
-
C.
Irmfried
Irmfried is a masculine German given name most notably borne by Irmfried Eberl, an Austrian physician and Nazi SS officer who served as a commandant of extermination camps during World War II.
-
D.
Willibald
Willibald is the given name of the influential 18th-century opera composer Christoph Willibald Gluck.
-
E.
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.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe08ae5048190a0a3b573d9a5fdbc |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03133de8c8190942c727b89c81b28 |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 10:01 p.m.