Triple
T14949794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter von Aspelt |
E372760
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Aspelt
Von Aspelt is a German noble family name most notably borne by Peter von Aspelt, a prominent medieval churchman and Archbishop of Mainz.
|
E1128506
|
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: von Aspelt | Statement: [Peter von Aspelt, familyName, von Aspelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Aspelt Context triple: [Peter von Aspelt, familyName, von Aspelt]
-
A.
Asper
Asper is a village in the municipality of Gavere in East Flanders, Belgium, known for its location along the Scheldt River.
-
B.
von Sonnenthal
Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
-
C.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
-
D.
von Bleibruck
Von Bleibruck is a German-language noble surname historically associated with Central European aristocratic lineages.
-
E.
von Osten
Von Osten is a German noble family name historically associated with Baltic and Prussian aristocracy.
- 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: von Aspelt Triple: [Peter von Aspelt, familyName, von Aspelt]
Generated description
Von Aspelt is a German noble family name most notably borne by Peter von Aspelt, a prominent medieval churchman and Archbishop of Mainz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Aspelt Target entity description: Von Aspelt is a German noble family name most notably borne by Peter von Aspelt, a prominent medieval churchman and Archbishop of Mainz.
-
A.
Asper
Asper is a village in the municipality of Gavere in East Flanders, Belgium, known for its location along the Scheldt River.
-
B.
von Sonnenthal
Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
-
C.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
-
D.
von Bleibruck
Von Bleibruck is a German-language noble surname historically associated with Central European aristocratic lineages.
-
E.
von Osten
Von Osten is a German noble family name historically associated with Baltic and Prussian aristocracy.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68fae3c81909873b113bfcaca05 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e986dfc8190a5cf363dabe6bdef |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe82845b788190b1d7af425aa354d4 |
completed | May 9, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe832a4228819085ebb93e9fed00be |
completed | May 9, 2026, 12:43 a.m. |
Created at: April 10, 2026, 2:39 a.m.