Triple

T13576752
Position Surface form Disambiguated ID Type / Status
Subject Robin Blaser E324305 entity
Predicate familyName P18 FINISHED
Object Blaser
Blaser is a surname of German origin borne by various notable individuals across fields such as poetry, sports, and manufacturing.
E1048646 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: Blaser | Statement: [Robin Blaser, familyName, Blaser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blaser
Context triple: [Robin Blaser, familyName, Blaser]
  • A. Diemaco
    Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
  • B. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • C. Elster
    Elster is a Norwegian social and political theorist best known for his work on rational choice theory, Marxism, and the philosophy of social science.
  • D. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • E. Gamo
    Gamo is an Omotic language spoken primarily by the Gamo people in southwestern Ethiopia.
  • 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: Blaser
Triple: [Robin Blaser, familyName, Blaser]
Generated description
Blaser is a surname of German origin borne by various notable individuals across fields such as poetry, sports, and manufacturing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blaser
Target entity description: Blaser is a surname of German origin borne by various notable individuals across fields such as poetry, sports, and manufacturing.
  • A. Diemaco
    Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
  • B. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • C. Elster
    Elster is a Norwegian social and political theorist best known for his work on rational choice theory, Marxism, and the philosophy of social science.
  • D. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • E. Gamo
    Gamo is an Omotic language spoken primarily by the Gamo people in southwestern Ethiopia.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbbe3c08190a359dfe7c3c8f15c completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77641e5308190a75bcffeb9bfd7b4 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f778f01700819099c3e9cbc84f29e4 completed May 3, 2026, 4:33 p.m.
Created at: April 9, 2026, 9:48 p.m.