Triple
T13114740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Farnaby |
E311063
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Farnaby
Farnaby is a surname most notably associated with English actor, writer, and comedian Simon Farnaby.
|
E1021620
|
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: Farnaby | Statement: [Simon Farnaby, familyName, Farnaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnaby Context triple: [Simon Farnaby, familyName, Farnaby]
-
A.
Farndale
Farndale is a scenic valley in the North York Moors of England, renowned for its springtime displays of wild daffodils along the River Dove.
-
B.
Fasham
Fasham is a small city in northern Tehran Province, Iran, known as a mountainous resort area and gateway to popular ski and hiking destinations in the Alborz range.
-
C.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
-
D.
Appleby
Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
-
E.
Low Furness
Low Furness is the southern, low-lying part of the Furness Peninsula in Cumbria, England, known for its rural landscapes, coastal scenery, and historic villages.
- 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: Farnaby Triple: [Simon Farnaby, familyName, Farnaby]
Generated description
Farnaby is a surname most notably associated with English actor, writer, and comedian Simon Farnaby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farnaby Target entity description: Farnaby is a surname most notably associated with English actor, writer, and comedian Simon Farnaby.
-
A.
Farndale
Farndale is a scenic valley in the North York Moors of England, renowned for its springtime displays of wild daffodils along the River Dove.
-
B.
Fasham
Fasham is a small city in northern Tehran Province, Iran, known as a mountainous resort area and gateway to popular ski and hiking destinations in the Alborz range.
-
C.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
-
D.
Appleby
Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
-
E.
Low Furness
Low Furness is the southern, low-lying part of the Furness Peninsula in Cumbria, England, known for its rural landscapes, coastal scenery, and historic villages.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.