Triple
T144225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert |
E2918
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object |
Ruprecht
Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
|
E36453
|
NE FINISHED |
How this triple was built (4 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: Ruprecht | Statement: [Robert, hasCognate, Ruprecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruprecht Context triple: [Robert, hasCognate, Ruprecht]
-
A.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
B.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
-
C.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
D.
Gustaf
Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
-
E.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ruprecht Triple: [Robert, hasCognate, Ruprecht]
Generated description
Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruprecht Target entity description: Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
-
A.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
B.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
-
C.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
D.
Gustaf
Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
-
E.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
- F. None of above. chosen
Provenance (5 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257e935bc8190a03e54a10e9ba6f7 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3949c6dfc81909a7aaa0ac3e91a65 |
completed | March 1, 2026, 1:21 a.m. |
| NEDg | Description generation | batch_69a3986c9b648190a1c30de3b0b52da6 |
completed | March 1, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a398c6b6588190a4213b66f07471b2 |
completed | March 1, 2026, 1:39 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.