Triple

T10488333
Position Surface form Disambiguated ID Type / Status
Subject Irvine Welsh E247348 entity
Predicate familyName P18 FINISHED
Object Welsh
Welsh is a common surname of Welsh origin, famously borne by Scottish novelist Irvine Welsh, author of "Trainspotting."
 E61316 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: Welsh | Statement: [Irvine Welsh, familyName, Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Welsh
Context triple: [Irvine Welsh, familyName, Welsh]
  • A. Welsh
    Welsh is a Celtic language native to Wales, known for its rich literary tradition and status as one of the oldest living languages in Europe.
  • B. Italian Welsh
    Italian Welsh are people of Italian descent living in Wales, forming a distinct subgroup within the broader Italian community in the United Kingdom.
  • C. Old Welsh
    Old Welsh is the earliest documented stage of the Welsh language, attested in early medieval Britain and forming the linguistic ancestor of Middle and Modern Welsh.
  • D. Kernewek Kemmyn
    Kernewek Kemmyn is a standardized orthography of revived Cornish designed in the late 20th century to provide a more phonemic and consistent spelling system for the language.
  • E. Cornish
    Cornish is a revived Southwestern Brittonic Celtic language historically spoken in Cornwall, England.
  • 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: Welsh
Triple: [Irvine Welsh, familyName, Welsh]
Generated description
Welsh is a common surname of Welsh origin, famously borne by Scottish novelist Irvine Welsh, author of "Trainspotting."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Welsh
Target entity description: Welsh is a common surname of Welsh origin, famously borne by Scottish novelist Irvine Welsh, author of "Trainspotting."
  • A. Welsh chosen
    Welsh is a Celtic language native to Wales, known for its rich literary tradition and status as one of the oldest living languages in Europe.
  • B. Italian Welsh
    Italian Welsh are people of Italian descent living in Wales, forming a distinct subgroup within the broader Italian community in the United Kingdom.
  • C. Old Welsh
    Old Welsh is the earliest documented stage of the Welsh language, attested in early medieval Britain and forming the linguistic ancestor of Middle and Modern Welsh.
  • D. Kernewek Kemmyn
    Kernewek Kemmyn is a standardized orthography of revived Cornish designed in the late 20th century to provide a more phonemic and consistent spelling system for the language.
  • E. Cornish
    Cornish is a revived Southwestern Brittonic Celtic language historically spoken in Cornwall, England.
  • F. None of above.

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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096b609c81909e23fd8fb6426f4a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc8c73748190b97c78af6cf142d9 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.