Triple

T10620403
Position Surface form Disambiguated ID Type / Status
Subject Kevin Kasper E250181 entity
Predicate familyName P18 FINISHED
Object Kasper
Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
 E875537 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: Kasper | Statement: [Kevin Kasper, familyName, Kasper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kasper
Context triple: [Kevin Kasper, familyName, Kasper]
  • A. Jesper
    Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • B. Caspar
    Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • E. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • 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: Kasper
Triple: [Kevin Kasper, familyName, Kasper]
Generated description
Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kasper
Target entity description: Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
  • A. Jesper
    Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • B. Caspar
    Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • E. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df6fc47c8190b77b61a7fd223d65 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b86a5bc8190863034cc91fdbbb9 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:46 p.m.