Triple
T870266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner |
E18794
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Werner
Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
|
E151920
|
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: Werner | Statement: [Warner, hasVariant, Werner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werner Context triple: [Warner, hasVariant, Werner]
-
A.
Helmut
Helmut is a masculine given name of German origin, historically common in German-speaking countries.
-
B.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Kurt Student
Kurt Student was a German Luftwaffe general and pioneer of airborne forces who played a key role in developing and leading Nazi Germany’s paratrooper units during World War II.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Kurt Franz
Kurt Franz was a high-ranking SS officer and one of the principal perpetrators of the Holocaust, notorious for his brutal role in the mass murder of Jews at the Treblinka extermination camp.
- 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: Werner Triple: [Warner, hasVariant, Werner]
Generated description
Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werner Target entity description: Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
-
A.
Helmut
Helmut is a masculine given name of German origin, historically common in German-speaking countries.
-
B.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Kurt Student
Kurt Student was a German Luftwaffe general and pioneer of airborne forces who played a key role in developing and leading Nazi Germany’s paratrooper units during World War II.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Kurt Franz
Kurt Franz was a high-ranking SS officer and one of the principal perpetrators of the Holocaust, notorious for his brutal role in the mass murder of Jews at the Treblinka extermination camp.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac94d5ac81909feee876696da589 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf057d688190bbd86a6727215bd2 |
completed | March 8, 2026, 12:12 a.m. |
| NEDg | Description generation | batch_69acbf873544819099d3dff98a6b2244 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc06483b08190b5b29f684b83f43f |
completed | March 8, 2026, 12:18 a.m. |
Created at: March 1, 2026, 7:39 p.m.