Triple
T1765828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewald von Kleist |
E38760
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ewald
Ewald is a masculine given name of Germanic origin, historically borne by various notable figures in German and Central European history.
|
E197452
|
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: Ewald | Statement: [Ewald von Kleist, givenName, Ewald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewald Context triple: [Ewald von Kleist, givenName, Ewald]
-
A.
Lindemann
Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
-
B.
Leonhard
Leonhard is a masculine given name most famously borne by the prolific 18th-century Swiss mathematician and physicist Leonhard Euler.
-
C.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
-
D.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
E.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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: Ewald Triple: [Ewald von Kleist, givenName, Ewald]
Generated description
Ewald is a masculine given name of Germanic origin, historically borne by various notable figures in German and Central European history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ewald Target entity description: Ewald is a masculine given name of Germanic origin, historically borne by various notable figures in German and Central European history.
-
A.
Lindemann
Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
-
B.
Leonhard
Leonhard is a masculine given name most famously borne by the prolific 18th-century Swiss mathematician and physicist Leonhard Euler.
-
C.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
-
D.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
E.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0f37a28819086c35c9f7a07dea9 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada4da6a988190847452139e1c210d |
completed | March 8, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada55d96b88190a4a5c6973d69592d |
completed | March 8, 2026, 4:35 p.m. |
Created at: March 4, 2026, 7:31 p.m.