Triple
T7238207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximilian Gereon Graf von Galen |
E155284
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gereon
Gereon is a masculine given name of German origin, historically borne by several saints and nobles.
|
E652231
|
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: Gereon | Statement: [Maximilian Gereon Graf von Galen, givenName, Gereon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gereon Context triple: [Maximilian Gereon Graf von Galen, givenName, Gereon]
-
A.
Hubertus
Hubertus is a masculine given name of Germanic origin, commonly used in various European countries.
-
B.
Matthias Zumtaugwald
Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
-
C.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
D.
Joachim von Kortzfleisch
Joachim von Kortzfleisch was a German Wehrmacht general during World War II, known for his role in the suppression of the 20 July 1944 plot against Adolf Hitler.
-
E.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
- 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: Gereon Triple: [Maximilian Gereon Graf von Galen, givenName, Gereon]
Generated description
Gereon is a masculine given name of German origin, historically borne by several saints and nobles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gereon Target entity description: Gereon is a masculine given name of German origin, historically borne by several saints and nobles.
-
A.
Hubertus
Hubertus is a masculine given name of Germanic origin, commonly used in various European countries.
-
B.
Matthias Zumtaugwald
Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
-
C.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
D.
Joachim von Kortzfleisch
Joachim von Kortzfleisch was a German Wehrmacht general during World War II, known for his role in the suppression of the 20 July 1944 plot against Adolf Hitler.
-
E.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea368fb88190bd9e991e8b94dac6 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d38efa4c8190abd6434188d8c58f |
completed | March 28, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69c7d476df7081909d6e26015ac9135f |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d551870c8190be0b37702d683fbd |
completed | March 28, 2026, 1:19 p.m. |
Created at: March 27, 2026, 2:55 p.m.