Triple
T10738455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heike |
E253255
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object | Heinrike |
E352030
|
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: Heinrike | Statement: [Heike, shortFormOf, Heinrike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heinrike Context triple: [Heike, shortFormOf, Heinrike]
-
A.
Luise
Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
-
B.
Wilhelmina
Wilhelmina was a Prussian princess of the House of Hohenzollern who became Princess of Orange through marriage and played a significant political role in the Dutch Republic in the late 18th century.
-
C.
Wilhelmina
Wilhelmina is the given name of Lady Catherine Lucy Wilhelmina Stanhope, a 19th-century British aristocrat and political hostess.
-
D.
Henrike
chosen
Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
-
E.
Wilhelmine
Wilhelmine is a feminine given name of German origin historically borne by various European royals, writers, and notable women.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710424d8c81908ee9b59d622f2af5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.