Triple
T13812926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans-Peter Wild |
E331938
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Hans-Peter
Hans-Peter is a masculine German given name commonly used in German-speaking countries, often as a compound of the names Hans and Peter.
|
E1063118
|
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: Hans-Peter | Statement: [Hans-Peter Wild, hasGivenName, Hans-Peter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans-Peter Context triple: [Hans-Peter Wild, hasGivenName, Hans-Peter]
-
A.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
B.
Hans-Dieter
Hans-Dieter is the full given first name of German football coach Hansi Flick.
-
C.
Hans Peters
Hans Peters was a film art director known for his work on classic mid-20th-century Hollywood productions.
-
D.
Jens Hennersdorf
Jens Hennersdorf is a German local politician who serves as the mayor of the municipality of Burkhardtsdorf in Saxony.
-
E.
Hans Weiss
Hans Weiss is a relatively common German personal name shared by multiple individuals, including figures in fields such as literature, journalism, and the arts.
- 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: Hans-Peter Triple: [Hans-Peter Wild, hasGivenName, Hans-Peter]
Generated description
Hans-Peter is a masculine German given name commonly used in German-speaking countries, often as a compound of the names Hans and Peter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hans-Peter Target entity description: Hans-Peter is a masculine German given name commonly used in German-speaking countries, often as a compound of the names Hans and Peter.
-
A.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
B.
Hans-Dieter
Hans-Dieter is the full given first name of German football coach Hansi Flick.
-
C.
Hans Peters
Hans Peters was a film art director known for his work on classic mid-20th-century Hollywood productions.
-
D.
Jens Hennersdorf
Jens Hennersdorf is a German local politician who serves as the mayor of the municipality of Burkhardtsdorf in Saxony.
-
E.
Hans Weiss
Hans Weiss is a relatively common German personal name shared by multiple individuals, including figures in fields such as literature, journalism, and the arts.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8de34a4819090c99cb78b941003 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b974fce88190ace5030555b7b5f1 |
completed | May 3, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:12 p.m.