Triple
T15214735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny von Westphalen |
E363607
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | von Westphalen |
E363607
|
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: von Westphalen | Statement: [Jenny von Westphalen, familyName, von Westphalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Westphalen Context triple: [Jenny von Westphalen, familyName, von Westphalen]
-
A.
von Westphalen
chosen
Von Westphalen is a German noble family name historically associated with Prussian aristocracy and notably borne by Jenny von Westphalen, the wife of Karl Marx.
-
B.
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.
-
C.
von Münnich
von Münnich is the noble German family name of Burkhard Christoph von Münnich, an 18th-century military commander and statesman who served in the Russian Empire.
-
D.
von Höpken
Von Höpken is the surname of a notable Swedish noble family most prominently associated with the 18th-century statesman Anders Johan von Höpken.
-
E.
von Falkenhausen
Von Falkenhausen is a German noble family name historically associated with military and administrative figures in Prussia and the German Empire.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.