Triple
T12036395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solingen |
E286549
|
entity |
| Predicate | hasNotableCompany |
P19182
|
FINISHED |
| Object |
F. Dick
F. Dick is a renowned German manufacturer of professional knives and sharpening tools, particularly known for its high-quality products made in Solingen.
|
E961457
|
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: F. Dick | Statement: [Solingen, hasNotableCompany, F. Dick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F. Dick Context triple: [Solingen, hasNotableCompany, F. Dick]
-
A.
Frank Darien
Frank Darien was an American character actor known for his prolific appearances in early 20th-century films, often playing supporting and comedic roles.
-
B.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
C.
John Fritchie
John Fritchie was the husband of American patriot and folk heroine Barbara Fritchie, known from John Greenleaf Whittier’s famous Civil War-era poem.
-
D.
Floyd Dixon
Floyd Dixon was an American jump blues and rhythm and blues pianist, singer, and songwriter known for his influential work in the 1940s and 1950s West Coast blues scene.
-
E.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
- 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: F. Dick Triple: [Solingen, hasNotableCompany, F. Dick]
Generated description
F. Dick is a renowned German manufacturer of professional knives and sharpening tools, particularly known for its high-quality products made in Solingen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F. Dick Target entity description: F. Dick is a renowned German manufacturer of professional knives and sharpening tools, particularly known for its high-quality products made in Solingen.
-
A.
Frank Darien
Frank Darien was an American character actor known for his prolific appearances in early 20th-century films, often playing supporting and comedic roles.
-
B.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
C.
John Fritchie
John Fritchie was the husband of American patriot and folk heroine Barbara Fritchie, known from John Greenleaf Whittier’s famous Civil War-era poem.
-
D.
Floyd Dixon
Floyd Dixon was an American jump blues and rhythm and blues pianist, singer, and songwriter known for his influential work in the 1940s and 1950s West Coast blues scene.
-
E.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d930714819080f92d223d930389 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.