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.