Triple

T8156852
Position Surface form Disambiguated ID Type / Status
Subject Robert Krasker E190471 entity
Predicate familyName P18 FINISHED
Object Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
 E717098 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: Krasker | Statement: [Robert Krasker, familyName, Krasker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krasker
Context triple: [Robert Krasker, familyName, Krasker]
  • A. Krusen
    Krusen is the surname of Dave Krusen, the original drummer for the American rock band Pearl Jam.
  • B. Krieger
    Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
  • C. Raskens
    Raskens is a novel by Swedish author Vilhelm Moberg that portrays the harsh life and inner struggles of a 19th-century Swedish soldier and farmer.
  • D. Crayke
    Crayke is a small village and civil parish in North Yorkshire, England, known for its historic hilltop setting and views over the surrounding countryside.
  • E. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • 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: Krasker
Triple: [Robert Krasker, familyName, Krasker]
Generated description
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krasker
Target entity description: Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
  • A. Krusen
    Krusen is the surname of Dave Krusen, the original drummer for the American rock band Pearl Jam.
  • B. Krieger
    Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
  • C. Raskens
    Raskens is a novel by Swedish author Vilhelm Moberg that portrays the harsh life and inner struggles of a 19th-century Swedish soldier and farmer.
  • D. Crayke
    Crayke is a small village and civil parish in North Yorkshire, England, known for its historic hilltop setting and views over the surrounding countryside.
  • E. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc37113108190901b02fae92764cf completed April 1, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_69ccd81bebf8819081b3c4efa5a9ef93 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.