Triple

T13469683
Position Surface form Disambiguated ID Type / Status
Subject Kalle E311594 entity
Predicate typicalUsage P2529 FINISHED
Object familiar form of Karl
Kalle is a common diminutive or nickname used in Germanic and Nordic countries for the given name Karl.
E1042217 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: familiar form of Karl | Statement: [Kalle, typicalUsage, familiar form of Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: familiar form of Karl
Context triple: [Kalle, typicalUsage, familiar form of Karl]
  • A. CARL
    CARL is an organization or research group associated with York University, likely focused on a specialized academic or scientific domain.
  • B. CARL
    CARL is the national organization representing Canada’s major research libraries, promoting access to scholarly information and supporting research and higher education.
  • C. KAR
    KAR is the ICAO airline designator assigned to the Russian regional carrier Pegas Fly.
  • D. KAR
    KAR is the commonly used abbreviation for the King's African Rifles, a former multi-battalion British colonial regiment recruited from East Africa.
  • E. KARI
    KARI is South Korea's national aerospace research organization responsible for developing space and aeronautical technologies, including satellites and launch vehicles.
  • 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: familiar form of Karl
Triple: [Kalle, typicalUsage, familiar form of Karl]
Generated description
Kalle is a common diminutive or nickname used in Germanic and Nordic countries for the given name Karl.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: familiar form of Karl
Target entity description: Kalle is a common diminutive or nickname used in Germanic and Nordic countries for the given name Karl.
  • A. CARL
    CARL is an organization or research group associated with York University, likely focused on a specialized academic or scientific domain.
  • B. CARL
    CARL is the national organization representing Canada’s major research libraries, promoting access to scholarly information and supporting research and higher education.
  • C. KAR
    KAR is the ICAO airline designator assigned to the Russian regional carrier Pegas Fly.
  • D. KAR
    KAR is the commonly used abbreviation for the King's African Rifles, a former multi-battalion British colonial regiment recruited from East Africa.
  • E. KARI
    KARI is South Korea's national aerospace research organization responsible for developing space and aeronautical technologies, including satellites and launch vehicles.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462bcb848190804a48f1a50a0c71 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74af641f881908af981d251e671be completed May 3, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_69f74b78bd508190a10708572a6e9309 completed May 3, 2026, 1:19 p.m.
Created at: April 9, 2026, 9:42 p.m.