Triple

T11994538
Position Surface form Disambiguated ID Type / Status
Subject Nelson, British Columbia E285495 entity
Predicate namedAfter P63 FINISHED
Object Hugh Nelson
Hugh Nelson was a 19th-century Canadian politician and businessman who served as one of the first senators for British Columbia after Confederation.
E959290 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: Hugh Nelson | Statement: [Nelson, British Columbia, namedAfter, Hugh Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Nelson
Context triple: [Nelson, British Columbia, namedAfter, Hugh Nelson]
  • A. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • B. Don Boyd
    Don Boyd is a British film producer and director known for his work on independent and socially conscious films.
  • C. John Houstoun
    John Houstoun was an American lawyer and politician who served as a governor of Georgia during the late 18th century.
  • D. Roy McGivern
    Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
  • E. William McNamara
    William McNamara is an American actor known for his roles in 1990s thrillers and dramas, including prominent performances in films like "Copycat" and "Wild Hearts Can't Be Broken."
  • 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: Hugh Nelson
Triple: [Nelson, British Columbia, namedAfter, Hugh Nelson]
Generated description
Hugh Nelson was a 19th-century Canadian politician and businessman who served as one of the first senators for British Columbia after Confederation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hugh Nelson
Target entity description: Hugh Nelson was a 19th-century Canadian politician and businessman who served as one of the first senators for British Columbia after Confederation.
  • A. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • B. Don Boyd
    Don Boyd is a British film producer and director known for his work on independent and socially conscious films.
  • C. John Houstoun
    John Houstoun was an American lawyer and politician who served as a governor of Georgia during the late 18th century.
  • D. Roy McGivern
    Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
  • E. William McNamara
    William McNamara is an American actor known for his roles in 1990s thrillers and dramas, including prominent performances in films like "Copycat" and "Wild Hearts Can't Be Broken."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.