Triple

T22548405
Position Surface form Disambiguated ID Type / Status
Subject Mosby E557490 entity
Predicate hasVariant P455 FINISHED
Object Mosbye
Mosbye is a variant spelling of the surname Mosby, which is associated with various individuals and places, particularly in English-speaking countries.
 E1541454 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: Mosbye | Statement: [Mosby, hasVariant, Mosbye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mosbye
Context triple: [Mosby, hasVariant, Mosbye]
  • A. Ovstug
    Ovstug is a rural locality in Russia best known as the birthplace of the 19th-century poet and diplomat Fyodor Tyutchev.
  • B. Olsborg
    Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
  • C. Mosvik
    Mosvik was a former municipality in Trøndelag county, Norway, known for its rural landscape and coastal location along the Trondheimsfjord.
  • D. Mörby
    Mörby is a locality in the Stockholm area of Sweden served by a station on the Roslagsbanan narrow-gauge railway line.
  • E. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • 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: Mosbye
Triple: [Mosby, hasVariant, Mosbye]
Generated description
Mosbye is a variant spelling of the surname Mosby, which is associated with various individuals and places, particularly in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mosbye
Target entity description: Mosbye is a variant spelling of the surname Mosby, which is associated with various individuals and places, particularly in English-speaking countries.
  • A. Ovstug
    Ovstug is a rural locality in Russia best known as the birthplace of the 19th-century poet and diplomat Fyodor Tyutchev.
  • B. Olsborg
    Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
  • C. Mosvik
    Mosvik was a former municipality in Trøndelag county, Norway, known for its rural landscape and coastal location along the Trondheimsfjord.
  • D. Mörby
    Mörby is a locality in the Stockholm area of Sweden served by a station on the Roslagsbanan narrow-gauge railway line.
  • E. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f372df48190ae5dd461b1230bc7 completed April 29, 2026, 1:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1deccca48190aba8c7913a769101 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1e9bb68481909945905b369247f0 completed May 18, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1efb36ac8190a4a9c3005ee58d23 completed May 18, 2026, 2:15 p.m.
Created at: April 16, 2026, 8:52 p.m.