Triple
T15856472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredric Steinkamp |
E384470
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Steinkamp
Steinkamp is a surname most notably associated with American film editor Fredric Steinkamp.
|
E1179562
|
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: Steinkamp | Statement: [Fredric Steinkamp, familyName, Steinkamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinkamp Context triple: [Fredric Steinkamp, familyName, Steinkamp]
-
A.
Sielkamp
Sielkamp is a district of the town of Sarstedt in Lower Saxony, Germany, forming part of its local residential and community area.
-
B.
Hinkelsteine
Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
-
C.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
D.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
E.
Garbitsch
Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
- 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: Steinkamp Triple: [Fredric Steinkamp, familyName, Steinkamp]
Generated description
Steinkamp is a surname most notably associated with American film editor Fredric Steinkamp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steinkamp Target entity description: Steinkamp is a surname most notably associated with American film editor Fredric Steinkamp.
-
A.
Sielkamp
Sielkamp is a district of the town of Sarstedt in Lower Saxony, Germany, forming part of its local residential and community area.
-
B.
Hinkelsteine
Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
-
C.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
D.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
E.
Garbitsch
Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cb08bd081908af2120eb2925441 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14c1e508190a182db216cc4e326 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.