Triple

T21636932
Position Surface form Disambiguated ID Type / Status
Subject Strachan E533984 entity
Predicate hasVariantSpelling P457 FINISHED
Object Strachane
Strachane is an alternative spelling of the Scottish surname Strachan, historically associated with a clan and place in Aberdeenshire, Scotland.
 E1493720 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: Strachane | Statement: [Strachan, hasVariantSpelling, Strachane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strachane
Context triple: [Strachan, hasVariantSpelling, Strachane]
  • A. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • B. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • C. Langstrath
    Langstrath is a remote, scenic valley in England’s Lake District, known for its rugged landscapes, river walks, and classic fell scenery.
  • D. Trostan
    Trostan is a mountain in Northern Ireland and the highest peak in County Antrim.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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: Strachane
Triple: [Strachan, hasVariantSpelling, Strachane]
Generated description
Strachane is an alternative spelling of the Scottish surname Strachan, historically associated with a clan and place in Aberdeenshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strachane
Target entity description: Strachane is an alternative spelling of the Scottish surname Strachan, historically associated with a clan and place in Aberdeenshire, Scotland.
  • A. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • B. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • C. Langstrath
    Langstrath is a remote, scenic valley in England’s Lake District, known for its rugged landscapes, river walks, and classic fell scenery.
  • D. Trostan
    Trostan is a mountain in Northern Ireland and the highest peak in County Antrim.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538ddb088190a3cba6fdc84c0ae8 completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f9de1fc8190bd44ba90877385c1 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a106d521481909aff885d50adbda1 completed May 17, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10e6cda481908c263911f681c337 completed May 17, 2026, 7:03 p.m.
Created at: April 16, 2026, 6:35 p.m.