Triple

T4541562
Position Surface form Disambiguated ID Type / Status
Subject Osborne E107542 entity
Predicate hasVariantSpelling P457 FINISHED
Object Osburn
Osburn is a surname that functions as a spelling variant of the more common name Osborne.
 E451256 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: Osburn | Statement: [Osborne, hasVariantSpelling, Osburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osburn
Context triple: [Osborne, hasVariantSpelling, Osburn]
  • A. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • B. Orston
    Orston is a small rural village in Nottinghamshire, England, known for its historic church and traditional countryside setting.
  • C. Glennsburne
    Glennsburne is the former name of Glen Burnie, a suburban community in Anne Arundel County, Maryland.
  • D. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • E. Hinson
    Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
  • 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: Osburn
Triple: [Osborne, hasVariantSpelling, Osburn]
Generated description
Osburn is a surname that functions as a spelling variant of the more common name Osborne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Osburn
Target entity description: Osburn is a surname that functions as a spelling variant of the more common name Osborne.
  • A. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • B. Orston
    Orston is a small rural village in Nottinghamshire, England, known for its historic church and traditional countryside setting.
  • C. Glennsburne
    Glennsburne is the former name of Glen Burnie, a suburban community in Anne Arundel County, Maryland.
  • D. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • E. Hinson
    Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d219d88190a67ada845323d7fb completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb926f2608190bdc6379e81358c38 completed March 20, 2026, 9:16 p.m.
NEDg Description generation batch_69bdbe0b6aa88190b6e99e4be1b27935 completed March 20, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69bdbe5eda748190b6d83d5f2c73cff5 completed March 20, 2026, 9:38 p.m.
Created at: March 20, 2026, 1:04 p.m.