Triple
T16593338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann von Thielmann |
E403144
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Thielmann
Thielmann is a German surname most notably associated with Johann von Thielmann, a distinguished general in the Napoleonic Wars.
|
E1222267
|
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: Thielmann | Statement: [Johann von Thielmann, familyName, Thielmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thielmann Context triple: [Johann von Thielmann, familyName, Thielmann]
-
A.
Tillmann
Tillmann is the surname of Sean Tillmann, the American musician and performer better known by his stage name Har Mar Superstar.
-
B.
Dettmar
Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
-
C.
Ottmar
Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
-
D.
Matthias Brandt
Matthias Brandt is a German actor and the son of former German chancellor Willy Brandt.
-
E.
Stefan Zumtaugwald
Stefan Zumtaugwald is an individual whose primary publicly available information is limited to their name, with no widely documented achievements or roles.
- 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: Thielmann Triple: [Johann von Thielmann, familyName, Thielmann]
Generated description
Thielmann is a German surname most notably associated with Johann von Thielmann, a distinguished general in the Napoleonic Wars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thielmann Target entity description: Thielmann is a German surname most notably associated with Johann von Thielmann, a distinguished general in the Napoleonic Wars.
-
A.
Tillmann
Tillmann is the surname of Sean Tillmann, the American musician and performer better known by his stage name Har Mar Superstar.
-
B.
Dettmar
Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
-
C.
Ottmar
Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
-
D.
Matthias Brandt
Matthias Brandt is a German actor and the son of former German chancellor Willy Brandt.
-
E.
Stefan Zumtaugwald
Stefan Zumtaugwald is an individual whose primary publicly available information is limited to their name, with no widely documented achievements or roles.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759dea5c819083fe9fb7dee37a35 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0076468d588190972639d0a22f0e3e |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007734abd481909c9c698f2aef7632 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:16 a.m.