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.